Publications

@article{202607012,

title = {The Computational Theory of Mind: Ethical and Philosophical Implications in the Age of Artificial Intelligence},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Marco A. Vera-Jiménez and Francisco R. Trejo-Macotela},

doi = {https://doi.org/10.61467/2007.1558.2026.v17i1.1245},

issn = {2007-1558},

year  = {2026},

date = {2026-01-07},

urldate = {2026-01-07},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {17},

issue = {1},

pages = {90-100},

abstract = {The Computational Theory of Mind (CTM) posits that the human mind operates in ways analogous to a computer, processing information through symbolic representations and formal rules. With the advent of Artificial Intelligence (AI) and Large Language Models (LLMs), the scope and implications of CTM have broadened considerably. This paper examines the ethical and philosophical dilemmas associated with research on and applications of CTM, with particular attention to human enhancement, privacy, consent, moral responsibility, and free will. It also considers how CTM intersects with longstanding philosophical debates on consciousness and personal identity, while addressing challenges raised by alternative perspectives, such as embodied cognition. Rather than advancing a prescriptive stance, the paper argues for a balanced approach that seeks to leverage technological developments while safeguarding human values and identity in an increasingly AI-driven context.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{Márquez-Vera_Ma’arif_Díaz-Parra_Yakoub_Ramos-Fernández_2026,

title = {Towards Interpretable Inverse Model Control: The Role of Grey-Box Models},

author = {Marco Antonio Márquez-Vera and Alfian-Ma’arif and Ocotlán Díaz-Parra and Zaineb Yakoub and Julio César Ramos-Fernández},

url = {https://ijcopi.org/ojs/article/view/1244},

doi = {10.61467/2007.1558.2026.v17i1.1244},

year  = {2026},

date = {2026-01-01},

urldate = {2026-01-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {17},

number = {1},

pages = {117–131},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr31120251,

title = {Multiclass Classification of Neurological and Psychiatric Conditions Using Synthetic Neuroinformatics Biomarkers and EEG Band Simulation},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Diaz-Parra and Francisco R. Trejo-Macotela and Eric Simancas-Acevedo and Juan M. Xicoténcatl-Pérez and Marco A. Vera-Jiménez and José M. Liceaga-Ortiz-De-La-Peña},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i4.1228},

issn = {2007-1558},

year  = {2025},

date = {2025-10-25},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {16},

issue = {4},

pages = {96-111},

abstract = {This study presents a machine learning framework for multiclass classification of neurological and psychiatric disorders using synthetic neuroinformatics biomarkers and EEG spectral simulations. Synthetic data modeled cognitive-motor features (visual delay, motor gain, expectancy weight, memory capacity, EEG bands), while real EEG data from 50 PhysioNet recordings validated performance. An XGBoost model optimized through grid search (24 combinations, five-fold validation) achieved 97.8% accuracy and 0.978 F1-score. Results showed excellent classification of neurotypical, ADHD, ASD, dementia, depression, GAD, Parkinson’s, psychosis, and Tourette’s, demonstrating strong potential for neuropsychiatric diagnosis support.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{esci4720251,

title = {Modelling and Comparison of Machine-Learning Algorithms for Energy Consumption Prediction in Smart Buildings},

author = {Luis Arturo Ortiz-Suarez and Fernando Perez-Tellez and Jorge A. Ruiz-Vanoye and Francisco Rafael Trejo-Macotela and Eric Simancas-Acevedo and Jazmín Rodríguez Flores and Ocotlán Diaz-Parra and José M. Liceaga-Ortiz-De-La-Peña},

doi = {10.13053/CyS-29-2-5663},

issn = {1405-5546},

year  = {2025},

date = {2025-07-01},

urldate = {2025-07-01},

journal = {Computación y Sistemas},

volume = {29},

issue = {2},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{esci4720252,

title = {Application of GANs to Augment the Mammography Repository},

author = {Yaneth Reyes-Hernández and Fernando Perez-Tellez and Jorge A. Ruiz-Vanoye and Jazmín Rodríguez-Flores and Eric Simancas-Acevedo and Ocotlán Diaz-Parra and Jaime Aguilar-Ortiz and Francisco R. Trejo-Macotela},

doi = {10.13053/CyS-29-2-5664},

issn = {1405-5546},

year  = {2025},

date = {2025-07-01},

journal = {Computación y Sistemas},

volume = {29},

issue = {2},

pages = {893–900},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{22720251,

title = {Software Development for Brain Glioma Detection Using Magnetic Resonance Imaging and Deep Learning Techniques},

author = {Luis E. Gaspar-Vargas and Karla A. Torres-Calva and Jorge A. Ruiz-Vanoye and Ocotlán Díaz Parra and

Eric Simancas-Acevedo and Julio C. Salgado-Ramirez},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i3.1132},

issn = {2007-1558},

year  = {2025},

date = {2025-07-01},

urldate = {2025-07-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {16},

issue = {3},

pages = {1-10},

abstract = {The detection of brain gliomas is a crucial clinical challenge that requires early, accurate diagnostic methods to improve patient outcomes. This work presents the development of a deep learning-based system for glioma detection, employing an ensemble of ResNet18, VGG16, and DenseNet121 models trained with MRI images. The preprocessing involved dataset curation, image normalisation, and mask generation through K-means clustering. The trained model was integrated into a web application, allowing users to upload images and receive immediate diagnostic feedback. Experimental results demonstrate promising accuracy rates and reliable segmentation performance. This research highlights the potential of artificial intelligence (AI) to augment traditional medical imaging techniques and assist clinical diagnosis.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{22720252,

title = {Prediction of PM10, SO2, NO2, O3, and CO Concentrations in Guadalajara Using ARIMA and Open Data with Python},

author = {Julio C. Salas-López and Juvencio S. Zarazúa-Silva and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Julio C. Salgado-Ramírez and Ocotlán Díaz-Parra},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i3.1114},

issn = {2007-1558},

year  = {2025},

date = {2025-07-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {16},

issue = {3},

pages = {25-35},

abstract = {Air quality in Guadalajara has deteriorated in recent years, becoming a serious health concern for the local population. In response, this project seeks to mitigate the impact of pollution by developing a prediction platform based on ARIMA models implemented in Python.



The system will analyse historical pollutant levels—including PM₂.₅, PM₁₀, SO₂, NO₂, O₃ and CO—enabling the anticipation of high-pollution episodes. Armed with this information, both citizens and authorities will be able to take timely preventative measures.



Given the growing interest in air quality and its implications for health, this tool will furnish valuable data for informed decision-making. Moreover, it will facilitate trend analysis and permit short-term forecasts, helping to identify potential pollution episodes before they occur.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620251,

title = {Artificial Intelligence and Human Well-Being: A Review of Applications and Effects on Life Satisfaction through Synthetic Happiness},

author = {Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara

and Ocotlán Díaz-Parra and Francisco R. Trejo-Macotela and Luis José Gómez-Pérez

and Jaime Aguilar-Ortiz and Miguel Á. Ruiz-Jaimes and Yadira Toledo-Navarro and 

Carlos R. Domínguez Mayorga},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.932},

issn = {2007-1558},

year  = {2025},

date = {2025-06-04},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {16},

issue = {1},

pages = {14–37},

abstract = {This paper examines the role of Artificial Intelligence in enhancing human well-being across domains such as healthcare, mental health, and education. A key contribution is the introduction of synthetic happiness—a form of well-being facilitated or enhanced by AI rather than naturally occurring processes. By reviewing current advancements, the study highlights AI’s positive impact on life satisfaction while addressing ethical concerns and potential drawbacks. The paper explores AI’s role in personalised healthcare, mental health support, and adaptive education, demonstrating how it fosters environments conducive to happiness. It further analyses synthetic happiness as a novel perspective on AI-driven well-being, discussing its benefits and risks, including reduced human interaction and over-reliance on artificial systems. While AI presents transformative opportunities to enhance happiness, it must complement rather than replace genuine human experiences. This paper provides a foundation for understanding AI’s role in well-being and offers insights for future research and applications.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620252,

title = {Brain Data Security and Neurosecurity: Technological advances, Ethical dilemmas, and Philosophical perspectives},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez

and Juan M. Xicoténcatl-Pérez and Ricardo A. Barrera-Cámara and Alejandro Fuentes-Penna and Eric Simancas-Acevedo and Jazmín Rodríguez-Flores and Josue R. Martínez-Mireles},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i5.555},

issn = {2007-1558},

year  = {2024},

date = {2024-11-11},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {5},

pages = {17–35},

abstract = {The rapid development in neurotechnology has significantly advanced our ability to understand and manipulate brain functions. However, these advancements have raised critical concerns regarding the security and privacy of brain data. This paper aims to explore the multifaceted issues surrounding the protection of brain data, focusing on neurosecurity. We begin by reviewing the current technological landscape, focusing on methods used to secure brain data, including encryption, authentication protocols, and anonymisation techniques. Drawing parallels with established computer security practices, we highlight both the strengths and limitations of these approaches when applied to neural data. Next, we delve into the ethical dilemmas posed by brain data security. Issues such as mental privacy and informed consent are analysed. The implications of unauthorised access to brain data and the misuse of such data in various contexts, including criminal justice, employment, and military applications, are discussed in detail. Furthermore, we examine the philosophical perspectives on brain data security, particularly concerning personal identity, autonomy, and freedom of thought. We explore how the manipulation and protection of brain data intersect with longstanding debates in ethics and philosophy, proposing frameworks for addressing these challenges. By combining a technological review with an ethical and philosophical analysis, this paper aims to provide a comprehensive understanding of neurosecurity and brain data security. We conclude with recommendations for future research and policy development to ensure the ethical and responsible use of brain data, emphasising the need for robust governance frameworks that protect individual rights while fostering technological innovation.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{journal11424,

title = {Real-Time Coordination and Communication Process for the Issuance of Emergency Ambulance Alerts},

author = {Evelyn V. Tafoya-Rivera and Ocotlán Díaz-Parra and Marco A. Márquez-Vera and Jorge A. Ruiz-Vanoye and Julio C . Ramos-Fernández and José G. Benítez-Morales and Eduardo Hernández-Huerta},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.535},

isbn = {2007-1558},

year  = {2024},

date = {2024-11-01},

urldate = {2024-11-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {4},

pages = {101–117},

abstract = {The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{journal114242,

title = {Artificial Intelligences in Industrial Robots: A Framework Based on Gardner’s Multiple Intelligences},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Eric Simancas-Acevedo and Ricardo A. Barrera-Cámara},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.536},

issn = {2007-1558},

year  = {2024},

date = {2024-11-01},

urldate = {2024-11-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {4},

pages = {118–129},

abstract = {Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial robots—such as visual recognition, decision-making, and collaborative interaction—based on Gardner’s intelligence framework, we provide a novel taxonomy that bridges human cognitive abilities and artificial systems. The survey explores the historical development of industrial robots, the current state of AI implementation, and future trends in robotics. Additionally, we discuss the implications of these advancements for industries and their workforce, as well as the ethical considerations surrounding the growing autonomy of AI systems. This paper aims to serve as a reference point for researchers and professionals seeking to understand the intersection of cognitive science and industrial AI, highlighting the potential and challenges of integrating AI into robotic systems.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{paper130,

title = {A brief review of the History of Computational Intelligence, Bio-Inspired Computing and Scientific Computing},

author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.524},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {3},

pages = {164–170},

abstract = {The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to minimize costs and maximize profits, problems of management of small, medium and large companies; agro-industrial problems, environment, among many others. To solve real problems using scientific computation, Bio-inspired and computational intelligence. This paper aims to present a review of the history of Computational Intelligence Bio-Inspired Computing and scientific computing.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{PAPER134,

title = {A comparative analysis of the Classical and Machine learning Forecasting Methods for the Mexican Stock Exchange},

author = {Juan Frausto-Solis and Javier Alberto Rangel-González and Erick Estrada-Patiño and Juan Javier González-Barbosa and Erika Alarcón-Ruiz and Guadalupe Castilla-Valdez and Ocotlán Díaz-Parra



},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.512},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {3},

pages = {43–58},

abstract = {There is no recent comparison in the literature on the application of classical and machine learning methods for forecasting financial assets on the Mexican Stock Exchange (BMV). These methods divide the time series into three sections: training, validation, and testing. They predict future values using the training data and are evaluated in the validation phase using error metrics; once the lowest error is obtained, the best parameters and algorithms are used to predict values using the test section. This paper aims to find the most accurate regression algorithm to make predictions in the financial time series of the BMV. The regression methods compared include linear regression, neural networks, decision trees, and support vector regression. The study uses historical BMV asset price data to compare the accuracy of each of these algorithms.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123c,

title = {Global Football Excellence Index to Evaluate Footballers' Performance in the Ballon d'Or and International Awards Competitions},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra},

doi = {10.61467/2007.1558.2024.v15i3.505},

issn = {2007-1558},

year  = {2024},

date = {2024-08-03},

urldate = {2024-08-03},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

number = {3},

pages = {1-3},

abstract = {This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123d,

title = {Quality of Service in Sustainable Development: A QoS-based Analysis of the United Nations Sustainable Development Goals},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Juan M. Xicoténcatl-Pérez and José M. Liceaga-Ortiz-De-La-Peña and Luis A. Ortiz-Suarez and Jazmin Rodríguez-Flores and Josue R. Martínez-Mireles},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.437},

issn = {2007-1558},

year  = {2024},

date = {2024-05-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

number = {1},

pages = {39-50},

abstract = {This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123e,

title = {Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model},

author = {Miguel Ángel Ruiz-Jaimes and Maria Arely Gabriel-Romero and Rodrigo Alejandro Morales-López and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Ocotlan Díaz-Parra and Jaime Aguilar Ortiz},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.394},

issn = {2007-1558},

year  = {2024},

date = {2024-05-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

number = {1},

pages = {86-100},

abstract = {Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients.  To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123,

title = {Prediction of the Melting Point of Ionic Liquids with Clustering and Noeuroevolution},

author = {Juan Frausto-Solis and Juan Javier González-Barbosa and Jorge Alberto Cerecedo-Cordoba and Juan Paulo Sánchez-Hernández and Ocotlán Díaz-Parra and Guadalupe Castilla-Valdez},

doi = {https://doi.org/10.61467/2007.1558.2023.v14i3.384},

issn = {2007-1558},

year  = {2023},

date = {2023-09-23},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {14},

issue = {3},

pages = {24-30},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jar231,

title = {Smart White Cane for Visually Impaired People for Hearing Recreation in Tourist Environment},

author = {Ocotlán Díaz-Parra and Juan M. Xicotencatl-Pérez and Julio C. Ramos-Fernández and Porfirio Espejel-Flores and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Jaime Aguilar-Ortiz















},

doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.348},

issn = {2007-1558},

year  = {2023},

date = {2023-06-05},

urldate = {2023-06-05},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {14},

number = {2},

pages = {3-17},

abstract = {The tourist cities apply technologies to strengthen and facilitate the communication of the tourists with the sporting, cultural, scientific and other aspects of a city. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. The Smart white cane gives smart tourism to Blind people. The smart white cane is a white cane for blind people supplemented with Electronic Travel Aids, Electronic Orientation Aids, and Position Locator Devices. This paper proposes a smart white cane for visually impaired people for hearing recreation in tourist environments (smart tourist white cane or Smart White Cane for Smart Tourism).},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jar232,

title = {Soccer Training Scheduling Problem},

author = {Alejandro Fuentes-Penna and Jorge A. Ruiz-Vanoye and Francisco R. Trejo-Macotela and Julio C. Ramos-Fernández and Ocotlán Díaz-Parra and Juan de Dios González-Ibarra and Eric Simancas-Acevedo and Porfirio Espejel-Flores

















},

doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.349},

issn = {2007-1558},

year  = {2023},

date = {2023-06-05},

urldate = {2023-06-05},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {14},

number = {2},

pages = {18–34},

abstract = {This article aims to present a new problem of planning of resources and activities related to soccer, which is a variant of the Project Scheduling Problem. Soccer projects are intended to meet the requirements and expectations of time, cost and quality of the processes of the Soccer-related activities. In this article, original and unique in the world to date, is presented the mathematical modelling based on the Project Scheduling Problem of soccer in order to make optimal use of the resources of time, money and human resources of enterprises that you take care to engage in Soccer. The CPLEX model was used to find the optimal use of resources of the Soccer Project Scheduling Problem.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jar233,

title = {Complexity on Fuzzy set and Fuzzy Logic for Air Quality},

author = {Alejandro Fuentes-Penna and Ocotlán Díaz-Parra and Juan de D. González-Ibarra and Porfirio Espejel-Flores and Eric Simancas-Acevedo and Jaime Aguilar-Ortiz and Jorge A. Ruiz-Vanoye













},

doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.367},

issn = {2007-1558},

year  = {2023},

date = {2023-06-05},

urldate = {2023-06-05},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {14},

number = {2},

pages = {43–48},

abstract = {The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits without considering specific local conditions and synergic relations between air pollutants and other meteorological factors. Different models analyze the structure of data to find the characteristics of air quality similarities and to interpret the classification results by means of fuzzy logic.



},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jour20221,

title = {Bio-Inspired Algorithm for Coordinated Control in Mobile Devices},

author = {Ocotlán Díaz-Parra and José G. Benítez-Morales and Julio C. Ramos-Fernández and Eduardo Hernández-Huerta and Francisco R. Trejo-Macotela and Juan M. Xicoténcatl Pérez and Miguel A. Ruiz-Jaimes},

doi = {https://doi.org/10.61467/2007.1558.2022.v13i3.315},

issn = {2007-1558},

year  = {2022},

date = {2022-08-23},

urldate = {2022-08-23},

journal = { International Journal of Combinatorial Optimization Problems and Informatics},

volume = {13},

number = {3},

pages = {87-97},

abstract = {The technological progress that has been achieved today, has a tendency in the application of automated mechanisms to improve the life of the human being. In the area of communications there are great advances in different applications such as, for example, being able to monitor from a mobile device event that are happening remotely at a remote point, or, for example, to monitor the mechanized control of taking medication to patients in a hospital. The objective of this research work is to be able to establish communication with mobile devices to execute instructions issued by an intelligent logic system. This system is built by means of a bio-inspired algorithm ACO (Ant Colony Optimization) that has the purpose of generating logical information and three differential type LBOOT mobile devices.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jour20222,

title = {Editorial Comments about Safe Cities},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Diaz-Parra},

doi = {https://doi.org/10.61467/2007.1558.2022.v13i3.314},

issn = {2007-1558},

year  = {2022},

date = {2022-08-19},

urldate = {2022-08-19},

journal = { International Journal of Combinatorial Optimization Problems and Informatics},

volume = {13},

number = {3},

pages = {1},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{2022-1cona,

title = {Smart Education and future trends},

author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Francisco R. Trejo-Macotela and Julio C. Ramos-Fernández and Jorge A. Ruiz-Vanoye and Alberto Ochoa Zezzatti and Jazmín Rodríguez-Flores},

url = {https://ijcopi.org/ojs/article/view/294},

issn = {2007-1558},

year  = {2022},

date = {2022-01-27},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {13},

number = {1},

pages = {65-74},

abstract = {Smart Education is the influence of diverse technologies (Combinatorial Optimization, Machine Learning, Big Data, data visualisation, Internet of Education Things, Learning analytics, and others) to enhance the quality of education. In other words, Smart Education is the process of optimally managing human, economic and technological resources from educational institutions and research centres. Smart Education is part of the Smart Society (a component of a Smart City). The Smart Education components are the Internet of Education Things (Wireless Sensor Networks, RFID Technology), management of the education physical, infrastructure, smart classroom, smart campus, smart learning, Learning analytics, Smart Analysis, data science, Education Impact, and Educational Policy. This paper is a guide for understanding Smart Education components by presenting a survey of the characteristics, taxonomy (Education-Hard problems and Education-Soft problems), smart education indicators, history and future trends.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{2021-1J1,

title = {Electronic system to monitoring vital signs in pregnancy through Random Forests},

author = {Juan Quintanar-Gómez and Daniel Robles-Camarillo and Francisco Rafael Trejo-Macotela and Ocotlán Díaz-Parra},

doi = {https://doi.org/10.61467/2007.1558.2021.v12i1.202},

issn = {2007-1558},

year  = {2021},

date = {2021-01-04},

urldate = {2021-01-04},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {12},

number = {1},

pages = {21-28},

abstract = {Currently, the care of women in pregnancy plays an essential role in improving the clinical conditions of women and babies through early detection of hypertensive disorders during pregnancy. For this reason, the clinical guidelines define blood pressure monitoring as a component for the detection of those disorders. In response to this problem, this paper proposes the design of an electronic prototype focused on the acquisition of blood pulses and weight, transmitting the information obtained through Bluetooth to a computer that processes the information obtained through Random Forest, obtaining the patient's blood pressure. As a result, a MAE of 3.215 and 1.55 mmHg is obtained for the systolic and diastolic pressure, respectively. This work is directed to the use of e-Health and artificial intelligence techniques to improve the quality of life of women in the gestational stage or patients who need to monitor their blood pressure during their daily activities.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{2021-1J2,

title = {P versus NP problem from Formal Languages Theory View},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Rafael Trejo-Macotela and Julio Cesar Ramos-Fernández},

doi = {https://doi.org/10.61467/2007.1558.2021.v12i1.207},

issn = {2007-1558},

year  = {2021},

date = {2021-01-04},

urldate = {2021-01-04},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {12},

number = {1},

pages = {1-8},

abstract = {P versus NP is an unsolved problem in mathematics and computational complexity. In this paper, we use the formal language theory to the computational complexity to analyze P versus NP problem from a new point of view. P versus NP problem is to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. Then, we use the theory of formal languages to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. We use different problems to display the question of P versus NP from Formal Languages Theory View.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{2021-1J3,

title = {The Hybrid Forecasting Method SVR-ESAR for Covid-19},

author = {Juan Frausto-Solis and Jose E. Olvera-Vazquez and Juan Javier González-Barbosa and Guadalupe Castilla-Valdez and Juan P. Sánchez-Hernández and Joaquín Perez-Ortega and Ocotlán Díaz-Parra},

doi = {https://doi.org/10.61467/2007.1558.2021.v12i1.198},

issn = {2007-1558},

year  = {2021},

date = {2021-01-04},

urldate = {2021-01-04},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {12},

number = {1},

pages = {42-48},

abstract = {We know that SARS-Cov2 produces the new COVID-19 disease, which is one of the most dangerous pandemics of modern times. This pandemic has critical health and economic consequences, and even the health services of the large, powerful nations may be saturated. Thus, forecasting the number of infected persons in any country is essential for controlling the situation. In the literature, different forecasting methods have been published, attempting to solve the problem. However, a simple and accurate forecasting method is required for its implementation in any part of the world. This paper presents a precise and straightforward forecasting method named SVR-ESAR  (Support Vector regression hybridized with the classical Exponential smoothing and ARIMA). We applied this method to the infected time series in four scenarios, which we have taken for the Github repository: the Whole World, China, the US, and Mexico. We compared our results with those of the literature showing the proposed method has the best accuracy.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{j20202,

title = {Predictive Investment Model in the Mexican Metallurgical Industry },

author = {Olga Mora-Rodarte and Ocotlán Díaz-Parra},

url = {https://ijcopi.org/index.php/ojs/article/view/154},

issn = {2007-1558},

year  = {2020},

date = {2020-05-04},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {11},

number = {2},

pages = {26-39},

abstract = {This paper is one vision of model about predictive at all many situations of investment and production capacity in the mineral – mechanic industry in Mexico. This situation is specific whit study many minerals is an about demanding investment and impacted many activities for example, factoring industry and sector visionaries about automobilist, aeroplanes, machine, hand dispositive and others. The history of Mexico minerals is growing in opportunity optimization problem according database for more eight years in economy for selective maximized. About the model predictive establish in diagnostic the many minerals in Mexico; this is of empirical investment simulation a possible consideration tendency in investment or production of mineral important of investment and costumer in Mexico. The modelling method uses potent to execute genetic algorithm to discovery investment potential across rent and contribution grow national situation about metallurgic industry and historical reason in this industry and empirical situation. },

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{j20201,

title = {Electric School Bus Routing Problem for Smart Cities},

author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Alberto Ochoa Zezzatti and Ernesto Cruz-Hernández and Salma Estrada-García and Antonio Alvarado-Pérez },

url = {https://ijcopi.org/index.php/ojs/article/view/167},

issn = {2007-1558},

year  = {2020},

date = {2020-05-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {11},

number = {2},

pages = {1-8},

abstract = {The use of electric vehicles (cars, motorcycles, scooters, trucks, buses) in the cities is an essential component so that cities can be considered smart cities. In this paper, we propose a mathematical model for the Electric School Bus Routing Problem which aims to minimise costs and optimise transportation times and cost of the students. We propose a Genetic Algorithm with a pre-Selection Operator, Tournament Selection Operator, Crossover-K Operator, and Mutation-S Operator to solve the Electric School Bus Routing Problem (SBRP).},

keywords = {CONACYT, ESCI, School Bus Routing Problem},

pubstate = {published},

tppubtype = {article}

}

@article{Jor20203,

title = {Maritime Platform Transport Problem of Solid, Special, and Dangerous Waste },

author = {Ocotlán Díaz-Parra},

url = {https://ijcopi.org/ojs/article/view/178/131},

issn = {2007-1558},

year  = {2020},

date = {2020-03-08},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {11},

number = {3},

pages = {1-8},

abstract = {The Maritime Platform Transport Problem of Solid, Special and Dangerous Waste consists of to minimize the monetary value of carrying different types of waste from one location to another location using ships. We present a mathematical model and the use CPLEX to find the optimal values to solve the Solid, Special and Hazardous Waste Transportation Problem of offshore platforms instances of Mexican state-owned petroleum company (PEMEX). The set of instances used are WTPLib real instances and the tool CPLEX solver to solve the Problem.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{Jor202032,

title = {Review of control on agricultural robot tractors },

author = {Adrián Alberto-Rodriguez and Martín Neri-Muñoz and Julio Cesar Ramos-Fernández and Marco Antonio Márquez-Vera and Luis Enrique Ramos-Velasco and Ocotlan Díaz-Parra and Eduardo Hernández-Huerta },

url = {https://ijcopi.org/ojs/article/view/171/132},

issn = {2007-1558},

year  = {2020},

date = {2020-03-08},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {11},

number = {3},

pages = {9-20},

abstract = {This article studies the most common methods of autonomous vehicle guidance, as well as a review of companies that have already developed their own self-guided tractors. The most common methods for autonomous guidance are through the position obtained from an RTK-GPS and by artificial vision. For both cases, sensors have to be implemented that help the task assigned, such as LIDAR sensors, proximity sensors, among others, that detect the tractor to know the working environment and define the correct route and even avoid collision, to comply with the assigned task, managing to improve production time and quality. The two guidance methods mentioned in this work fail to have error = 0, either by the type of sensor or by the technique used. Among the most commonly used techniques for obstacle avoidance are the possible field method or the probabilistic route planner.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{Jor202033,

title = {Flight control mechanisms of a comet },

author = {Aridelci Ángeles-Meneses and José Gerardo Benítez-Morales and Javier Hernández-Pérez and Ocotlan Díaz-Parra and Mario Alberto Magaña-Méndez },

url = {https://ijcopi.org/ojs/article/view/173/135},

issn = {2007-1558},

year  = {2020},

date = {2020-03-08},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {11},

number = {3},

pages = {49-60},

abstract = {The growth of technology and the demand for the use of renewable resources has unleashed the interest of researchers to generate knowledge to obtain resources of this type. For this they have built different proposals, one of them is the generation of energy through wind resources. In this article, a search is carried out in publications that relate renewable energies to air vehicles, proposals for flight control mechanisms in an aerodynamic system and the different control designs used by researchers in this area},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj2019-33,

title = {Editorial for Volume 10 Number 3: Can Machines Play Musical Instruments?},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Miguel A. Ruiz-Jaimes and Joaquín Pérez-Ortega},

url = {https://ijcopi.org/index.php/ojs/article/view/125/107},

issn = {2007-1558},

year  = {2019},

date = {2019-09-02},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {10},

number = {3},

pages = {1-6},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj2019-31,

title = {Editorial for Volume 10 Number 2: Surveying the Transportation of the E-Waste},

author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Evangelina Lezama-León and Myrna Lezama-León and Miguel A. Ruiz-Jaimes and Ricardo A. Barrera-Cámara and Jorge A. Ruiz-Vanoye},

issn = {2007-1558},

year  = {2019},

date = {2019-06-25},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {10},

number = {2},

pages = {1-7},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj2019-32,

title = {Business processes in technology and information services },

author = {Ricardo A. Barrera-Cámara and Ana Canepa-Saenz and Judith del Carmen Santiago-Pérez and Veronica Barrientos-Vera and Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra},

issn = {0124-4639},

year  = {2019},

date = {2019-05-15},

journal = {Universidad & Empresa},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{JOURNAL92,

title = {Editorial for Volume 10 Number 1: Review of heuristic algorithms applied to the solution problem of land transportation of perishable products},

author = {Evangelina Lezama-León and Myrna Lezama-León and Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Ricardo A. Barrera-Cámara and Alejandro Fuentes-Penna},

url = {https://ijcopi.org/index.php/ojs/article/view/110},

issn = {2007-1558},

year  = {2019},

date = {2019-01-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {10},

number = {1},

pages = {1-5},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{JOURNAL91,

title = {Una heurística aplicada al algoritmo K-means para el agrupamiento de grandes instancias altamente agrupadas},

author = {Joaquín Pérez-Ortega and Miguel Hidalgo-Reyes and Noé Alejandro Castro-Sánchez and Rodolfo Pazos-Rangel and Ocotlán Díaz-Parra and Víctor Olivares-Peregrino and Nelva Almanza-Ortega},

url = {http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/viewFile/2548/2476},

doi = {10.13053/CyS-22-2-2548},

issn = {2007-9737},

year  = {2018},

date = {2018-05-10},

journal = {Computación y Sistemas},

volume = {22},

number = {2},

pages = {607-619},

abstract = {With  the  increasing  presence  of  Big  Data

there   arises   the   need   to   group   large   instances.

These  instances  present  a  number  of  objects  with

multidimensional features, which require to be grouped

in   hundreds   or   thousands   of   clusters.   This   article

presents a new improvement to the K-means algorithm,

which  is  oriented  to  the  efficient  solution  of  instances

with  a  large  number  of  clusters  and  dimensions.  This

heuristic  is  called  Honeycomb  (HC)  and  it  is  based

on the relationship between the number of dimensions

and the number of centroids that form a neighborhood.

That is, the heuristic allows the reduction of the number

of  distance  calculations  for  each  object.  The  heuristic

was  validated  by  solving  a  set  of  synthetic  instances

obtaining  reductions  in  execution  time  of  up  to  90 %

and a quality reduction of less than 1 %, with respect to

standard  K-means.  For  real  instances  of  low  and  high

dimensionality,  HC  obtained  a  reduction  of  execution

time   between   84.74 %   and   95.44 %   with   a   quality

reduction   between   1.07 %   and   1.62 %,   respectively.

The   experimental   results   are   encouraging   because

this heuristic would benefit those domains that require

instances with a continuous increase of the number of

objects, dimensions and clusters},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{CONA22,

title = {Editorial for Volume 9 Number 3: Models, Resources and Activities of Project Scheduling Problems},

author = {Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ocotlán Díaz-Parra and Ricardo A. Barrera-Cámara and Myrna Lezama-León and Evangelina Lezama-León},

url = {https://www.researchgate.net/publication/323663022_Editorial_for_Volume_9_Number_3_Models_Resources_and_Activities_of_Project_Scheduling_Problems},

issn = {2007-1558},

year  = {2018},

date = {2018-03-09},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {9},

number = {3},

pages = {1-17},

abstract = {The Project Scheduling Problem (PSP) is a generic name given to a whole class of problems in which the best form, time, resources and costs for project scheduling are necessary. The PSP is an application area related to the project management. This paper aims at being a guide to understand PSP by presenting a survey of the general parameters of PSP: the Resources (those elements that realize the activities of a project), and the Activities (set of operations or own tasks of a person or organization); the mathematical models of the main variants of PSP and the algorithms used to solve the variants of the PSP. The project scheduling is an important task in project management. This paper contains mathematical models, resources, activities, and algorithms of project scheduling problems. The project scheduling problem has attracted researchers of the automotive industry, steel manufacturer, medical research, pharmaceutical research, telecommunication, industry, aviation industry, development of the software, manufacturing management, innovation and technology management, construction industry, government project management, financial services, machine scheduling, transportation management, and others. The project managers need to finish a project with the minimum cost and the maximum quality.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{CONA23,

title = {Intelligent Tutor System for the Learning of Otomí Language},

author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Miguel A. Ruiz-Jaimes and Yadira Toledo-Navarro and Myrna Lezama-León and Evangelina Lezama-León},

url = {https://ijcopi.org/index.php/ojs/article/view/97},

issn = {2007-1558},

year  = {2018},

date = {2018-03-09},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {9},

number = {3},

pages = {18-25},

abstract = {In this paper was raised as support to the rescue of the indigenous language called hñähñu (Otomí) existing in Mexico, in order to further develop the learning of this language in children's basic level, providing a teaching tool different from usual that children interact. The UNESCO marks that the countries should cultivate three languages: a native or local, in this case is hñähñu, or a national which is the Spanish, and the third is the implementation with another international language (English). The intelligent tutor system via web based on Joomla and PHP programming for learning the hñähñu or Otomí to the new generations and thus rescue the language from extinction. This research originates from an extensive and exhaustive collection of information from different bibliographic sources until the construction of intelligent tutoring system. The research work is designed to teach the basis of the Otomi language which is focused on the children of basic level in the region of the Mezquital Valley which is located in the State of Hidalgo, Mexico.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{Oj18,

title = {Forecast of the Wind Speed using the Regional Atmospheric Modeling System (RAMS) and Weather Research and Forecasting (WRF) models },

author = { Ramón Lira-Argüello and Miguel A. Ruiz-Jaimes and Ubaldo Miranda-Miranda and Ricardo Saldaña Flores and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Yadira Toledo-Navarro },

url = {https://ijcopi.org/index.php/ojs/article/view/92},

issn = {2007-1558},

year  = {2018},

date = {2018-02-23},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {9},

number = {2},

pages = {11-24},

abstract = {Physical, statistical models or a combination of both are used for the wind power prediction. Physical models considered meteorological and geophysical data to determine the value of the speed of the wind and with this power generation; statistical models, on the other hand, used historical data of electric generation. The latter integrated wind speed obtained from a numerical model. If the wind speed is not forecast within a range of acceptable error, power generation forecast will be affected in a critical way. This study presents the development of a hardware-software infrastructure to provide a short-term wind forecast, 4 times a day using the model Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) 1 km resolution in an area of 1344 km2 located in the South of the Isthmus of Tehuantepec, Oaxaca. From the models are obtained datasets at the height of 80 m. Databases used as initial conditions and frontier models are data from the Global Forecast System (GFS) of the National Centers for Environmental Prediction (NCEP) for a period of one year. As the technique of adjustment models of prognosis numerical of weather (NWP) was implemented Kalman filter algorithm trying to eliminate systematic errors that are generated when modeling at levels close to the Earth's surface. As an option of statistical models were 3 models Autoregressive Integrated Moving Average (ARIMA) using historical data of wind speed. Forecast of the wind speed of all configurations was validated by comparing it with data measured at 80 m with a weather station located in the area, which belongs to the National Institute of electricity and clean energies (INEEL). Chai and Draxler [4] recommended using more than one metric to validate the models. The statistics were used in this study: mean absolute deviation (MAD), the mean absolute error (MAE) and the root of the mean square error (RMSE). The results show that the best model of forecasting for the period of 5 days is the WRF with an average RMSE of 2.48 and MAE average of 1.7. Forecasts 24 hours the best choice turned out to be the Kalman filter applied to the outputs of the RAMS model. This model shows the mean values of RMSE 1.74 and MAE of 1.32. Taking into account these results were operationally configured models and in a geographical information system provided the best forecasts 4 times a day every 6 hour. As future work in the short term is planned to make the forecast of wind and comparison of actual power generation with the forecasted for the wind turbine KWT300 (300 kW) located within the Regional Centre of Technology (CERTE) of the INEEL.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{CONA10,

title = {Oil Platform Transport Problem (OPTP) is NP-hard },

author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Beatriz Bernabe-Loranca and Joaquín Pérez-Ortega and Ricardo A. Barrera-Cámara and Daniel Vélez-Díaz and Nubia B. Pérez-Olguin},

url = {https://ijcopi.org/index.php/ojs/article/view/14},

issn = {2007-1558},

year  = {2017},

date = {2017-11-11},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {8},

number = {3},

pages = {2-19},

abstract = {The Oil Platform Transport Problem is considered as a combination/interlink of the two well-studied NP-Hard/NP-Complete problems: the Helicopter Routing Problem-HRP (a generalization of the Split Delivery Vehicle Routing Problem) and the one-dimensional Bin Packing Problem (BPP-1). The Oil Platform Transport Problem consist of to minimize the cost of carry resources, goods or people from one location (airport/platform) to another location (airport/platform) using helicopters with some restrictions as capacity and time windows. We provide the proof that this problem is NP-Hard/NP-Complete Problem by the polynomial transformation using formal languages between the Vehicle Routing Problem and the Oil Platform Transport Problem. We propose a new mathematical model to the Oil Platform Transport problem, and we present the parameters or characterization of Oil Platform Transport Problem instances of Mexican state-owned petroleum company (PEMEX). We generated 5 instance set, each instance set has 50 cases of randomly generated instances and real instances (with GIS data) of PEMEX Oil Platforms. We use the CPLEX solver to find the optimal cost of carrier resources, goods or people contains in the Oil Platform Transport Problem.



The Oil Platform Transport Problem is considered as a combination/interlink of the two well-studied NP-Hard/NP-Complete problems: the Helicopter Routing Problem-HRP (a generalization of the Split Delivery Vehicle Routing Problem) and the one-dimensional Bin Packing Problem (BPP-1). The Oil Platform Transport Problem consist of to minimize the cost of carry resources, goods or people from one location (airport/platform) to another location (airport/platform) using helicopters with some restrictions as capacity and time windows. We provide the proof that this problem is NP-Hard/NP-Complete Problem by the polynomial transformation using formal languages between the Vehicle Routing Problem and the Oil Platform Transport Problem. We propose a new mathematical model to the Oil Platform Transport problem, and we present the parameters or characterization of Oil Platform Transport Problem instances of Mexican state-owned petroleum company (PEMEX). We generated 5 instance set, each instance set has 50 cases of randomly generated instances and real instances (with GIS data) of PEMEX Oil Platforms. We use the CPLEX solver to find the optimal cost of carrier resources, goods or people contains in the Oil Platform Transport Problem.},

keywords = {CONACYT, ESCI, Oil Platform Transport Problem},

pubstate = {published},

tppubtype = {article}

}

@article{CONA11,

title = {Editorial for Volume 8 Number 3 - Mexican Infant Mortality and the data-mining applied to the prediction of treatment of diseases},

author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Miguel A. Ruiz-Jaimes },

url = {https://ijcopi.org/index.php/ojs/article/view/12},

isbn = {2007-1558},

year  = {2017},

date = {2017-11-11},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {8},

number = {3},

pages = {1},

keywords = {CONACYT, data-mining, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{CONA8,

title = {Motivation Index to Improve the Soccer Performance },

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Daniel Vélez-Díaz and Mónica García-Munguía and Jorge Ruiz-Díaz and Fernando Ruiz-Díaz},

url = {https://ijcopi.org/index.php/ojs/article/view/18},

issn = {2007-1558},

year  = {2017},

date = {2017-11-10},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {8},

number = {3},

pages = {45-57},

abstract = {The soccer players always have sought to improve its performance. There are methodologies, diets, and an excellent coach to improve the soccer skills. In this paper, we propose the use of metrics or statistical indicators for improving the soccer performance. Additionally we take into consideration the rating of the individual errors with negative points: Goals Shots Off Target, Not goals from direct free-kicks and indirect free-kicks, Unsuccessful dribbles, Caught Opposition Offside, Unsuccessful Shots free-kicks or indirect free-kicks, Head Shots Off the target, Shots Off Target, Unsuccessful Long /short passes, Pass Directions incorrect, Pass Lengths incorrect, Pass Locations incorrect, Duels lost on the offensive/defensive, Aerial duels lost on the offensive/defensive, Own goals, Penalties conceded, Defensive mistakes, Fouls Committed, Corner Crosses / direct or indirect free-kicks conceded, Throw-ins conceded, Yellow or red cards, Substituted off, and others, which significantly affects the soccer performance of the team, to the metric called Motivation Index or lack of motivation. A European soccer match was analyzed to obtain the index of motivation and thereby determine the relationship of the index with the final outcome of the match. We use the NacSports software to perform an analysis of videos of a soccer match.},

keywords = {CONACYT, ESCI, Soccer Performance},

pubstate = {published},

tppubtype = {article}

}

@article{CONA9,

title = {Project Management for Farm Production },

author = {Alejandro Fuentes-Penna and Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra},

url = {https://ijcopi.org/index.php/ojs/article/view/17},

issn = {2007-1558},

year  = {2017},

date = {2017-11-10},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {8},

number = {3},

pages = {39-44},

keywords = {CONACYT, ESCI, Project Management},

pubstate = {published},

tppubtype = {article}

}

@article{CONA6,

title = {Editorial for Volume 8 Number 1- Characterization in the Transfer of Resources to the International Space Station },

author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Joaquín Pérez-Ortega and Nubia B. Pérez-Olguin and Fernando Torres Benítez},

issn = {2007-1558},

year  = {2017},

date = {2017-01-07},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {8},

number = {1},

pages = {1-5},

keywords = {CONACYT, ESCI, International Space Station},

pubstate = {published},

tppubtype = {article}

}

@article{CONA5,

title = {Desarrollo y prueba de un modelo matemático orientado a optimizar los recursos de los Proyectos de Innovación Tecnológica presentados en el CONACYT},

author = {Mario A. Zurita-Barron and Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna},

url = {http://www.redalyc.org/html/615/61549258014/index.html},

issn = {1405-5546},

year  = {2016},

date = {2016-02-07},

journal = {Computación y Sistemas},

volume = {20},

number = {4},

pages = {749-761},

keywords = {CONACYT, ESCI, Proyectos de Innovación Tecnológica},

pubstate = {published},

tppubtype = {article}

}

@article{CONA7,

title = { Editorial for Volume 7 Number 1: The Space Transportation },

author = {Jorge A. Ruiz-Vanoye and Miguel G. Cedillo-Campos and Alejandro Fuentes-Penna and Ocotlán Díaz-Parra },

url = {https://ijcopi.org/index.php/ojs/article/view/40},

issn = {2007-1558},

year  = {2016},

date = {2016-02-07},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {7},

number = {1},

pages = {1-2},

keywords = {CONACYT, ESCI, Space Transportation},

pubstate = {published},

tppubtype = {article}

}

@article{CONA2,

title = {Editorial for Volume 6 Number 1: Dissemination of Academic Books on the Book Citation Index},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Diaz-Parra and Sócrates López-Pérez and Alejandro Fuentes-Penna and Beatriz Bernabé-Loranca and José C. Zavala-Díaz and Ricardo A. Barrera-Cámara},

url = {https://ijcopi.org/index.php/ojs/article/view/57},

issn = {2007-1558},

year  = {2015},

date = {2015-02-07},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {6},

number = {1},

pages = {1-6},

keywords = {Book Citation Index, CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{CONA3,

title = {Editorial for Volume 6 Number 2: Books Content Manager of Open Access - Open Monograph Press},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Alberto Ochoa and Ricardo A. Barrera-Cámara and Daniel Velez-Díaz},

url = {https://ijcopi.org/index.php/ojs/article/view/52},

issn = {2007-1558},

year  = {2015},

date = {2015-02-07},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {6},

number = {2},

pages = {1-10},

keywords = {CONACYT, ESCI, Open Monograph Press},

pubstate = {published},

tppubtype = {article}

}

@article{CONA4,

title = {Editorial for Volume 6 Number 3 - Computing Solutions inspired in Biology},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Alberto Ochoa and Beatriz Bernábe-Loranca},

url = {https://ijcopi.org/index.php/ojs/article/view/47},

issn = {2007-1558},

year  = {2015},

date = {2015-02-07},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {6},

number = {3},

pages = {1-4},

keywords = {Computing Solutions, CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{CONA1,

title = {Evolutionary Algorithm for the Vehicles Routing Problem with Time Windows Based on a Constraint Satisfaction Technique},

author = {Marco A. Cruz-Chávez and Ocotlán Díaz-Parra},

url = {http://www.revistas.unam.mx/index.php/cys/article/view/17050},

issn = {1405-5546},

year  = {2010},

date = {2010-02-07},

journal = {Computación y Sistemas},

volume = {13},

number = {3},

pages = {257-272},

keywords = {CONACYT, ESCI, Evolutionary Algorithm},

pubstate = {published},

tppubtype = {article}

}