Publications

@article{jcr2510264,

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 = {2025-10-26},

urldate = {2025-10-26},

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},

journal = {Computación y Sistemas},

volume = {29},

issue = {2},

pages = {883–891},

abstract = {One-third of global energy demand is attributed to consumption in buildings, with HVAC and lighting systems as the primary contributors. This study presents the development and comparison of several machine-learning algorithms for predicting energy consumption in a building simulated using EnergyPlus and following the Team Data Science Process (TDSP) methodology. Feature-selection techniques (feature selection and feature importance) were applied to identify the most influential variables. Five predictive models were trained: MLP, SVR, XGBoost, Random Forest and Keras Regressor. Results demonstrate that the MLP model achieved the highest accuracy, while XGBoost showed greater stability. Additionally, traditional statistical models (ARIMA and SARIMAX) were compared to machine-learning models for multi-horizon prediction.},

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},

abstract = {Generative adversarial networks (GANs) offer an innovative approach to synthetic image generation. They have significantly impacted the creation of images that would otherwise be difficult to obtain. In this study, we examine several GAN architectures to determine whether they can generate synthetic mammography images to enrich an existing repository, thereby improving AI training for breast-cancer detection and supporting research into this disease with a more diverse dataset.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{esci4720253,

title = {Development of an Autonomous Module for Weed Management in Agriculture},

author = {Rubén O. Hernández-Terrazas and Juan M. Xicoténcatl-Pérez and Julio C. Ramos-Fernández and Jorge A. Ruíz-Vanoye and José M. Liceaga-Ortiz-De-La-Peña},

doi = {10.13053/CyS-29-2-5662},

issn = {1405-5546},

year  = {2025},

date = {2025-07-01},

journal = {Computación y Sistemas},

volume = {29},

issue = {2},

pages = {917–923},

abstract = {In the state of Hidalgo, Mexico, agriculture faces critical challenges due to climate change, such as resource scarcity, while also striving to ensure food security. One of the most pressing issues in corn cultivation is inadequate weed management, which reduces productivity and increases production costs. This article proposes an autonomous system for weed detection and removal in corn fields, integrating artificial intelligence algorithms, real-time computer vision, and a robotic arm equipped with a laser and herbicide sprayer. Following a systematic review, the YOLOv8m model was selected for its real-time detection capabilities and its balance between accuracy and efficiency. The proposed system employs machine learning algorithms in Python, achieving over 80% accuracy in distinguishing corn plants from weeds. Preliminary results demonstrate precise weed control, reduced environmental impact, and feasibility of field integration with minimal human intervention. This project marks a significant advancement toward more efficient and sustainable precision agriculture. As future work, the hybrid tool will apply selective treatments based on the size and location of the weeds, further minimizing herbicide use.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{22720251,

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 = {23-35},

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{ESCI22720252,

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},

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{jcr56202513s,

title = {Generating medical images of breast cancer using generative artificial intelligence},

author = {Reyes-Hernández and Jorge A. Ruiz-Vanoye and Jazmín Rodriguez Flores},

doi = {http://dx.doi.org/10.61467/2007.1558.2025.v16i1.1058},

issn = {2007-1558},

year  = {2025},

date = {2025-06-07},

urldate = {2025-06-07},

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

volume = {16},

issue = {1},

pages = {266-274},

abstract = {In this research work we review the fact that although there are different sets of databases with medical images of mammograms of breast cancer, these data are not really sufficient for the training of artificial intelligence systems to find signs of breast cancer in the images, so we propose the creation of new images that help to complement the data sets allowing better training in the systems that help the diagnosis of this disease.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620256,

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},

urldate = {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 = {Comparison between FRQI and NEQR quantum algorithms applied in digital image processing},

author = {Joel Silos-Sanchez and Jazmin Rodríguez-Flores and Josué Martínez-Mireles and Marco García-Márquez and Arturo Austria-Cornejo and Jorge A. Ruiz-Vanoye},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.898},

issn = {2007-1558},

year  = {2025},

date = {2025-06-03},

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

volume = {16},

issue = {1},

pages = {213–225},

abstract = {Quantum image processing represents a transformative approach to visual data analysis, leveraging the principles of quantum computing to overcome classical limitations. This work explores two prominent quantum image encoding methods: FRQI (Flexible Representation of Quantum Images) and NEQR (Novel Enhanced Quantum Representation). FRQI excels in qubit efficiency, making it suitable for hardware implementation, while NEQR offers superior precision in pixel intensity representation, ideal for complex image processing tasks. We detail the implementation of these algorithms, including preprocessing, quantum circuit design, and simulation, using platforms like Qiskit. The study highlights the potential of quantum image processing in fields such as medicine, industry, and environmental monitoring, while addressing challenges like qubit limitations and noise sensitivity. This research contributes to advancing quantum computing applications, paving the way for innovative and sustainable technological solutions.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620251,

title = {Design and implementation of a wireless network with mechanisms that do not violate security to meet the demand of higher education institutions},

author = {Miguel Ángel Ruiz-Jaimes and Jorge A. Ruiz-Vanoye and Juan José Flores-Sedano and Yadira Toledo-Navarro},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.419},

issn = {2007-1558},

year  = {2025},

date = {2025-06-02},

urldate = {2025-06-02},

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

volume = {16},

issue = {2},

pages = {123–129},

abstract = {At the Autonomous University the current wireless network infrastructure is insufficient to meet the growing demand for access, causing failures and intermittencies in the service. Faced with this problem, a thesis proposal has been developed to implement a modern wireless network with high user density, centralized management and improved security schemes. The proposed methodology for the implementation of a high-density wireless network in a higher education institution. In conclusion, the project made it possible to comply with the hypothesis proposed since the implementation of a robust wireless network, with adequate levels of security and profile management, facilitated the ubiquitous access of online academic resources by the student and teaching community of the university. This translates into support for educational quality.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620253,

title = {Weeding Robots Current Jobs and Perspectives},

author = {Rubén Oswaldo Hernández-Terrazas and Juan Xicoténcatl-Pérez and Jorge A. Ruiz-Vanoye},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.951},

issn = {2007-1558},

year  = {2025},

date = {2025-06-02},

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

volume = {16},

issue = {1},

pages = {202–207},

abstract = {Precision agriculture has revolutionised the way farmers manage their crops, maximising efficiency and minimising environmental impact. This thesis addresses the design and implementation of a device that identifies the corn plant and with the help of artificial intelligence implement a robotic arm that delivers herbicides and in some cases precision lasers.



 



We will explore the design and control of a precision farming device, from basic principles to the most advanced technologies currently in use. We will analyse the sensorisation tools, control systems and optimisation techniques employed to ensure a more sustainable and profitable agriculture through: precision identification of maize plants and the use of a robotic mechanical arm equipped with two nozzles, one to deliver herbicide and the other to deliver lasers to the weeds surrounding the maize plants. The proposal aims for the expected results to reduce herbicide consumption by 30-50%, validating the feasibility of this scalable and sustainable solution to improve efficiency in agricultural infrastructures.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620254,

title = {Smart Energy Efficiency: Energy Management System in Smart Buildings based on Voting Ensemble and battery bank},

author = {José M. Liceaga-Ortiz-de-la-Peña and Juan M. Xicoténcatl-Pérez and Jorge A. Ruiz-Vanoye},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.934},

issn = {2007-1558},

year  = {2025},

date = {2025-06-02},

urldate = {2025-06-02},

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

volume = {16},

issue = {1},

pages = {208–212},

abstract = {Energy management in smart buildings requires strategies to improve power consumption, ensuring reliability and cost reduction. This thesis addresses the solution of the problem by implementing a predictive model based on an artificial intelligence technique working in conjunction with a proposed battery bank in order to better store energy and mitigate the high peaks of electricity demand in different periods as well as in atypical scenarios.



 



The research addresses two aspects: accuracy in consumption prediction, and energy management, the latter including energy storage efficiency and mitigating high peak power consumption. The proposal aims for the expected results to reduce electricity consumption by 3% to 7%, validating the viability of this scalable and sustainable solution to improve energy efficiency in smart infrastructures.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620255,

title = {Optimizing Energy Consumption in Smart Buildings by Using Machine Learning Algorithms},

author = {Luis Arturo Ortiz-Suarez and Jorge A. Ruiz Vanoye and Francisco R. Trejo-Macotela},

doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.1057},

issn = {2007-1558},

year  = {2025},

date = {2025-06-02},

urldate = {2025-06-02},

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

volume = {16},

issue = {1},

pages = {258–265},

abstract = {In this article, an approach for optimizing energy consumption in smart buildings using machine learning algorithms is presented. Utilizing TDSP, data on climatic conditions, occupancy, and energy consumption obtained from EnergyPlus software are integrated. Feature selection and feature importance techniques, as well as statistical analyses, are implemented to select variables that are used to train machine learning models such as MLP neural networks, support vector machines, random forest, and XGBRegressor for predicting energy consumption, with accuracy evaluated using RMSE. It was demonstrated that models based on neural networks offer better accuracy, thereby enabling measures to achieve energy optimization.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jcr8620257,

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 = {2024-11-25},

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},

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 = {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 = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{paper143,

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 = {https://doi.org/10.61467/2007.1558.2024.v15i3.505},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

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

volume = {15},

issue = {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{paper144,

title = {Cluster of Vulnerable Municipalities in Mexico to facilitate the Creation of Coordination Mechanisms in the Humanitarian Responses through Machine Learning Techniques},

author = {Diana Sánchez-Partida and MarÍa Beatriz Bernábe-Loranca and Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara

},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.458},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

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

volume = {15},

issue = {3},

pages = {28-42},

abstract = {Cluster of Vulnerable Municipalities in Mexico to facilitate the Creation of Coordination Mechanisms in the Humanitarian Responses through Machine Learning Techniques. Coordination among actors in the supply chain is essential for ensuring a well-organized, efficient, and effective response to humanitarian crises, ultimately leading to better outcomes for those affected by disasters. Effective coordination ensures that resources, information, and aid are distributed efficiently and promptly to those in need during humanitarian crises. It also helps optimize resource allocation, prevent duplication of efforts, and ensure that aid reaches the right places at the right time. It supports identifying and mitigating risks in the supply chain, such as delays, bottlenecks, or disruptions, which can impact aid delivery. Coordination fosters better communication among stakeholders, enabling them to share information, collaborate on solutions, and make informed decisions. Precise coordination mechanisms help establish accountability among actors, ensuring that responsibilities are defined, monitored, and fulfilled. This document proposes an efficient logistics system capable of providing aid in a rapid and coordinated manner through unsupervised learning and a medoid partitioning algorithm called PAM (Partitioning Around Medoids) that achieves a global optimum for grouping the vulnerable municipalities of Mexico using INECC data. In addition, the PAM algorithm was compared with the P-Median to check the efficiency of the global optimum.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{paper145,

title = {2D23D: 3D images from 2D images using statistical filters and color shading},

author = {Marco A. García-Márquez and Josue R. Martínez-Mireles and Jazmín Rodríguez-Flores and Arturo Austria-Cornejo and Jorge A. Ruiz-Vanoye







},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.521},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

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

volume = {15},

issue = {3},

pages = {115–125},

abstract = {Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visualization environment tools that allow the generation of voxel depth, as well as the management of image formats from the medical or spatial sector, including the results obtained with images. from both sectors, from which the 3D models were created.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{paper146,

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{J24-1-1,

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 = {2024-01-10},

urldate = {2024-01-10},

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

volume = {15},

issue = {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{J24-1-2,

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

author = {Miguel Á. 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 = {2024-01-10},

urldate = {2024-01-10},

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

volume = {15},

issue = {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 = {Classification of Cardiac Arrhythmias},

author = {Miguel Ángel Ruiz-Jaimes and Jorge Alarcón-Álvarez and Juan José Flores-Sedano and Jorge A. Ruiz-Vanoye and Yadira Toledo-Navarro and Eric Simancas-Acevedo and Francisco Rafael Trejo-Macotela and Marco Antonio Vera-Jiménez},

doi = {https://doi.org/10.61467/2007.1558.2023.v14i3.389},

issn = {2007-1558},

year  = {2023},

date = {2023-09-23},

urldate = {2023-09-23},

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

volume = {14},

issue = {3},

pages = {3-15},

abstract = {Cardiovascular diseases (CVD) are one of the leading

causes of mortality worldwide. In this context, the design of

accurate and efficient methods for the automated classification of

electrocardiogram (ECG) signals is essential for clinical diagnosis,

particularly in the detection of cardiac arrhythmias. The main

objective of this project is to develop an automated classification

system for cardiac arrhythmias using electrocardiogram signals. To

carry out this project, the iterative cascade methodology was used,

which allows modifications and improvements to be made in each

development iteration. The interview technique was used to collect

the project requirements, which allowed obtaining detailed and

precise information on the needs and expectations of the client.},

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 = {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},

doi = {https://doi.org/10.61467/2007.1558.2022.v13i1.294},

issn = {2007-1558},

year  = {2022},

date = {2022-01-27},

urldate = {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{2021-1,

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{jo20201,

title = {Editorial for Volume 11 Number 2: 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},

doi = {https://doi.org/10.61467/2007.1558.2020.v11i2.167},

issn = {2007-1558},

year  = {2020},

date = {2020-01-02},

urldate = {2020-01-02},

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},

pubstate = {published},

tppubtype = {article}

}

@article{JESCI2019,

title = { Evaluador inteligente de daño fenológico en la planta de trigo},

author = { Silvia S. Moreno-Gutiérrez and Alfredo Toriz-Palacios and Sócrates López-Pérez and Jorge A. Ruiz-Vanoye},

url = {https://doi.org/10.30878/ces.v26n3a7 },

doi = {10.30878/ces.v26n3a7},

issn = {2395-8782},

year  = {2019},

date = {2019-11-04},

journal = {CIENCIA ergo-sum},

volume = {26},

number = {3},

pages = {1-12},

abstract = {El cambio climático en el planeta ha afectado la producción mundial de trigo. En este sentido, los pronósticos aseguran que estos cambios y efectos serán mayores conforme pase el tiempo. Considerando la importancia de este cereal como alimento de la dieta básica de los seres humanos, se propone una nueva forma de evaluación del cultivo que permita pronosticar el daño probable por etapa fenológica por medio de una red neuronal artificial entrenada con datos históricos del comportamiento climático global e impacto fenológico. Un sistema de resultados interpreta la salida y constituye la interfaz de usuario. La propuesta fue validada y mostró su capacidad de generalización alcanzando alta precisión de 84%, por lo que se considera adecuada.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jr18,

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 = {2019-08-05},

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

volume = {10},

number = {1},

pages = {1-5},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jr25,

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 },

url = {https://ijcopi.org/index.php/ojs/article/view/117/101},

issn = {2007-1558},

year  = {2019},

date = {2019-05-10},

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

volume = {10},

number = {2},

pages = {1-7},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jr190319,

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

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

url = {https://revistas.urosario.edu.co/index.php/empresa/article/view/6639/7275},

issn = {0124-4639},

year  = {2019},

date = {2019-03-22},

journal = {Universidad & Empresa},

volume = {21},

number = {37},

pages = {204-227},

abstract = {In this work, we defned and simulated the processes in an information technology services company with the purpose of enhancing attention and functions defned for each of them. We analyzed several works related to the

business management process and simulation. For model development, we designed a methodology based on business process management. For modeling and simulating the procedures and activities, we used a software

tool establishing times and number of possible instances to be performed. The software allowed adapting these times and processes to a desired level of performance. Resulting processes contribute to adequately and time

effciently perform business activities to provide a higher quality service.},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jr19,

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

author = {Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara 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},

issn = {2007-1558},

year  = {2019},

date = {2019-03-16},

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

volume = {10},

number = {3},

pages = {1-6},

abstract = {The robots are designed to help with difficult tasks for the human being, currently carried out activities that were a main feature of the human how to perform surgeries, injections, run musical instruments among others. This paper aims to highlight the Musical Artificial Intelligent and the history of the Musicians Robots.},

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{oj18,

title = {A-means: improving the cluster assignment phase of k-means for Big Data },

author = { Joaquín Pérez-Ortega and Nelva Nely Almanza-Ortega and Jorge A. Ruiz-Vanoye and Rodolfo A. Pazos R. and Socorro Sáenz-Sánchez and José María Rodríguez-Lelis and Alicia Martínez-Rebollar },

url = {https://ijcopi.org/index.php/ojs/article/view/91},

issn = {2007-1558},

year  = {2018},

date = {2018-02-23},

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

volume = {9},

number = {2},

pages = {3-10},

abstract = {This paper proposes a new criterion for reducing the processing time of the assignment of data points to clusters for algorithms of the k-means family, when they are applied to instances where the number n of points is large. Our criterion allows a point to be classified in an early stage, excluding it from distance calculations to cluster centroids in subsequent iterations. The proposed criterion uses knowledge of the distance of a point to its two closest centroids and their shifts in the last two iterations. By computer experimentation using synthetic and real instances, we found that this criterion reduces execution time to approximately 2/100 of the time by k-means and generates solutions whose quality is approximately reduced by less than 3%. These findings suggest the usefulness of our criterion for problems like those found in Big Data. The NP-hardness of k-means motivates the use of this heuristics.},

keywords = {CONACYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jrnal201911,

title = { Editorial for Volume 9 Number 1: Eye Tracking Interfaces },

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Miguel A. Ruiz-Jaimes and Yadira Toledo-Navarro},

url = {https://ijcopi.org/index.php/ojs/article/view/73/66},

issn = {2007-1558},

year  = {2018},

date = {2018-01-30},

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

volume = {9},

number = {1},

pages = {1-2},

keywords = {ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{ijcopi20170,

title = {Editorial Infant Monrtality and the data-mining applied to the prediction of treatment of diseases},

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

issn = {2007-1558},

year  = {2017},

date = {2017-12-01},

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

volume = {8},

number = {3},

pages = {1},

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}

}