2021

1.  DíazParra, Ocotlán; FuentesPenna, Alejandro; Ochoa, Alberto; MartinezMireles, Josue R; RodriguezFlores, Jazmin; RuizVanoye, Jorge A; CamperoJurado, Israel; RuizJaimes., Miguel A Edge Computing – Foundations and applications Book Chapter Forthcoming In: Ajith Abraham Sujata Dash, Joel Rodrigues Biswaranjan Acharya Subhendu Pani. (Ed.): AI, Edge and IoTbased Smart Agriculture, Chapter 2, Elsevier, Forthcoming, ISBN: 9780128236949. BibTeX  Tags: chapters @inbook{BC20211,
title = {Edge Computing – Foundations and applications},
author = {Ocotlán DíazParra and Alejandro FuentesPenna and Alberto Ochoa and Josue R. MartinezMireles and Jazmin RodriguezFlores and Jorge A. RuizVanoye and Israel CamperoJurado and Miguel A. RuizJaimes.},
editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani.},
isbn = {9780128236949},
year = {2021},
date = {20210621},
booktitle = {AI, Edge and IoTbased Smart Agriculture},
publisher = {Elsevier},
chapter = {2},
keywords = {chapters},
pubstate = {forthcoming},
tppubtype = {inbook}
}

2.  RuizVanoye, Jorge A; BarreraCámara, Ricardo A; DíazParra, Ocotlán; RamosFernández, Julio C; FuentesPenna, Alejandro; OchoaZezzatti, Alberto; HernándezAguilar, José A; CamperoJurado, Israel Surveying the Smart Farming for the Smart Cities Book Chapter Forthcoming In: Ajith Abraham Sujata Dash, Joel Rodrigues Biswaranjan Acharya Subhendu Pani (Ed.): AI, Edge and IoTbased Smart Agriculture, Chapter 18, Elsevier, Forthcoming, ISBN: 9780128236949. BibTeX  Tags: chapters @inbook{BC20212,
title = {Surveying the Smart Farming for the Smart Cities},
author = {Jorge A. RuizVanoye and Ricardo A. BarreraCámara and Ocotlán DíazParra and Julio C. RamosFernández and Alejandro FuentesPenna and Alberto OchoaZezzatti and José A. HernándezAguilar and Israel CamperoJurado},
editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani},
isbn = {9780128236949},
year = {2021},
date = {20210621},
booktitle = {AI, Edge and IoTbased Smart Agriculture},
publisher = {Elsevier},
chapter = {18},
keywords = {chapters},
pubstate = {forthcoming},
tppubtype = {inbook}
}

3.  RuizVanoye, Jorge A; BarreraCámara, Ricardo A; FuentesPenna, Alejandro; DíazParra, Ocotlán; TrejoMacotela, Francisco R; CamperoJurado, Israel; RuizJaimes, Miguel A; ToledoNavarro, Yadira Internet of Things on Sustainable Aquaculture System. Book Chapter Forthcoming In: Ajith Abraham Sujata Dash, Joel Rodrigues Biswaranjan Acharya Subhendu Pani. (Ed.): AI, Edge and IoTbased Smart Agriculture, Chapter 38, Elsevier, Forthcoming, ISBN: 9780128236949. BibTeX  Tags: chapters @inbook{BC20213,
title = {Internet of Things on Sustainable Aquaculture System.},
author = {Jorge A. RuizVanoye and Ricardo A. BarreraCámara and Alejandro FuentesPenna and Ocotlán DíazParra and Francisco R. TrejoMacotela and Israel CamperoJurado and Miguel A. RuizJaimes and Yadira ToledoNavarro},
editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani.},
isbn = {9780128236949},
year = {2021},
date = {20210621},
booktitle = {AI, Edge and IoTbased Smart Agriculture},
publisher = {Elsevier},
chapter = {38},
keywords = {chapters},
pubstate = {forthcoming},
tppubtype = {inbook}
}

2019

4.  DíazParra, Ocotlán; RuizVanoye, Jorge A; FuentesPenna, Alejandro; BarreraCámara, Ricardo A; RuizJaimes, Miguel A; ToledoNavarro, Yadira; LezamaLeón, Myrna; LezamaLeón, Evangelina Chapter 18: Perishing Goods Transportation Problem: Fundamentals, Advances, and Applications Book Chapter In: Ortiz, Carlos Alberto Ochoa; RiveraZárate, Gilberto; GómezSantillán, Claudia Guadalupe; SánchezLara, Benito (Ed.): Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities., pp. 315338, IGI, 1, 2019, ISBN: 9781522581314. Abstract  Links  BibTeX  Tags: chapters @inbook{bc18,
title = {Chapter 18: Perishing Goods Transportation Problem: Fundamentals, Advances, and Applications},
author = {Ocotlán DíazParra and Jorge A. RuizVanoye and Alejandro FuentesPenna and Ricardo A. BarreraCámara and Miguel A. RuizJaimes and Yadira ToledoNavarro and Myrna LezamaLeón and Evangelina LezamaLeón},
editor = {Carlos Alberto Ochoa Ortiz and Gilberto RiveraZárate and Claudia Guadalupe GómezSantillán and Benito SánchezLara },
doi = { 10.4018/9781522581314.ch018},
isbn = {9781522581314},
year = {2019},
date = {20190107},
booktitle = {Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities.},
pages = {315338},
publisher = {IGI},
edition = {1},
abstract = {The smart transportation of farming must carry food from agriculture, livestock, and fisheries from one location to another using diverse types of transportation modes to improve the wellbeing of citizens. The mathematical optimization model proposed in this chapter represents the problem of transportation of perishable products which aims to minimize costs and optimize transportation times and costs. Reduction of the time of transportation of perishable products increases the likelihood of delivering fresh products and minimizes economic losses. Transportation time and temperature suitable for the conservation of the product are priorities in this type of problem because the product is transported in time reduces the probability that the product will be exposed to extreme conditions that favor its decomposition. To check the feasibility of the model, this study proposes a set of instances subject to an application obtained a series of solutions that are analyzed to identify if there is a feasible solution. },
keywords = {chapters},
pubstate = {published},
tppubtype = {inbook}
}
The smart transportation of farming must carry food from agriculture, livestock, and fisheries from one location to another using diverse types of transportation modes to improve the wellbeing of citizens. The mathematical optimization model proposed in this chapter represents the problem of transportation of perishable products which aims to minimize costs and optimize transportation times and costs. Reduction of the time of transportation of perishable products increases the likelihood of delivering fresh products and minimizes economic losses. Transportation time and temperature suitable for the conservation of the product are priorities in this type of problem because the product is transported in time reduces the probability that the product will be exposed to extreme conditions that favor its decomposition. To check the feasibility of the model, this study proposes a set of instances subject to an application obtained a series of solutions that are analyzed to identify if there is a feasible solution. 
2013

5.  DíazParra, Ocotlán; RuizVanoye, Jorge A; de los BuenabadArias, Ma. Ángeles; CanepaSaenz, Ana Vertical Transfer Algorithm for the School Bus Routing Problem Book Chapter In: Gavrilova, Mariana L; Tan, Kenneth C J; Abraham, Ajith (Ed.): 8160 , pp. 211229, Springer Berlin Heidelberg, 2013, ISBN: 9783642453175. Links  BibTeX  Tags: chapters, School Bus Routing Problem @inbook{BC5,
title = {Vertical Transfer Algorithm for the School Bus Routing Problem},
author = {Ocotlán DíazParra and Jorge A. RuizVanoye and Ma. Ángeles de los BuenabadArias and Ana CanepaSaenz},
editor = {Mariana L Gavrilova and Kenneth C J Tan and Ajith Abraham},
url = {https://doi.org/10.1007/9783642453182_9},
doi = {10.1007/9783642453182_9},
isbn = {9783642453175},
year = {2013},
date = {20130207},
volume = {8160},
pages = {211229},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {chapters, School Bus Routing Problem},
pubstate = {published},
tppubtype = {inbook}
}

2010

6.  RuizVanoye, Jorge A; DíazParra, Ocotlán; PérezOrtega, Joaquín; R., Rodolfo Pazos A; ReyesSalgado, Gerardo; GonzálezBarbosa, Juan J Complexity of Instances for Combinatorial Optimization Problems Book Chapter In: Ali, AlDahoud (Ed.): Chapter 19, pp. 319330, INTECH Education and Publishing, 2010, ISBN: 9789537619282. BibTeX  Tags: chapters, Combinatorial Optimization Problems @inbook{BC4,
title = {Complexity of Instances for Combinatorial Optimization Problems},
author = {Jorge A. RuizVanoye and Ocotlán DíazParra and Joaquín PérezOrtega and Rodolfo A. Pazos R. and Gerardo ReyesSalgado and Juan J. GonzálezBarbosa},
editor = {AlDahoud Ali},
isbn = {9789537619282},
year = {2010},
date = {20100207},
pages = {319330},
publisher = {INTECH Education and Publishing},
chapter = {19},
keywords = {chapters, Combinatorial Optimization Problems},
pubstate = {published},
tppubtype = {inbook}
}

2008

7.  RuizVanoye, Jorge A; DíazParra, Ocotlán; N., Vanesa Landero A Metric to Discriminate the Selection of Algorithms for General Problem ATSP Book Chapter In: I., Lovrek; R.J., Howlett; L.C., Jain (Ed.): 5177 , pp. 106113, Springer, Berlin, Heidelberg, 2008, ISBN: 9783540855620. Abstract  Links  BibTeX  Tags: Algorithms, chapters @inbook{BC1,
title = {A Metric to Discriminate the Selection of Algorithms for General Problem ATSP},
author = {Jorge A. RuizVanoye and Ocotlán DíazParra and Vanesa Landero N.},
editor = {Lovrek I. and Howlett R.J. and Jain L.C.},
url = {https://link.springer.com/chapter/10.1007%2F9783540855637_19},
doi = {10.1007/9783540855637_19},
isbn = {9783540855620},
year = {2008},
date = {20080207},
volume = {5177},
pages = {106113},
publisher = {Springer, Berlin, Heidelberg},
series = {Lecture Notes in Computer Science},
abstract = {In this paper we propose: (1) the use of discriminant analysis as a means for predictive learning (datamining techniques) aiming at selecting metaheuristic algorithms and (2) the use of a metric for improving the selection of the algorithms that best solve a given instance of the Asymmetric Traveling Salesman Problem (ATSP). The only metric that had existed so far to determine the best algorithm for solving an ATSP instance is based on the number of cities; nevertheless, it is not sufficiently adequate for discriminating the best algorithm for solving an ATSP instance, thus the necessity for devising a new metric through the use of datamining techniques.},
keywords = {Algorithms, chapters},
pubstate = {published},
tppubtype = {inbook}
}
In this paper we propose: (1) the use of discriminant analysis as a means for predictive learning (datamining techniques) aiming at selecting metaheuristic algorithms and (2) the use of a metric for improving the selection of the algorithms that best solve a given instance of the Asymmetric Traveling Salesman Problem (ATSP). The only metric that had existed so far to determine the best algorithm for solving an ATSP instance is based on the number of cities; nevertheless, it is not sufficiently adequate for discriminating the best algorithm for solving an ATSP instance, thus the necessity for devising a new metric through the use of datamining techniques. 
8.  RuizVanoye, Jorge A; ZárateMarceleño, José A; DíazParra, Ocotlán; N., Vanesa Landero Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm Book Chapter In: 5073 , pp. 11311141, Springer, Berlin, Heidelberg, 2008, ISBN: 9783540698401. Abstract  Links  BibTeX  Tags: chapters, vehicle routing problem with time windows @inbook{BC2,
title = {Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm},
author = {Jorge A. RuizVanoye and José A. ZárateMarceleño and Ocotlán DíazParra and Vanesa Landero N.},
url = {https://link.springer.com/chapter/10.1007/9783540698487_90},
doi = {10.1007/9783540698487_90},
isbn = {9783540698401},
year = {2008},
date = {20080207},
volume = {5073},
pages = {11311141},
publisher = {Springer, Berlin, Heidelberg},
series = {Lecture Notes in Artificial Intelligence},
abstract = {In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW.},
keywords = {chapters, vehicle routing problem with time windows},
pubstate = {published},
tppubtype = {inbook}
}
In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW. 