Publications

@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{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}

}