Publications

@inbook{cha1-23,

title = {Ch. 3: Smart Government and Future Trends},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Blas M. Rodríguez-Lara and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Julio C. Ramos-Fernández and Juan M. Xicoténcatl-Pérez and Jaime Aguilar-Ortiz},

editor = {Dr. Jorge A. Ruiz-Vanoye},

isbn = {9798369303733},

year  = {2023},

date = {2023-12-10},

booktitle = {Management, Technology, and Economic Growth in Smart and Sustainable Cities},

publisher = {IGI Global},

keywords = {chapters},

pubstate = {forthcoming},

tppubtype = {inbook}

}

@inbook{cha2-23,

title = {Ch. 1: Smart and Sustainable Cities},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Diaz-Parra and Francisco Marroquín-Gutiérrez and Blas Manuel Rodríguez-Lara and 

Jaime Aguilar-Ortiz},

editor = {Jorge A. Ruiz-Vanoye},

isbn = {9798369303733},

year  = {2023},

date = {2023-12-10},

booktitle = {Management, Technology, and Economic Growth in Smart and Sustainable Cities},

publisher = {IGI Global},

keywords = {chapters},

pubstate = {forthcoming},

tppubtype = {inbook}

}

@inbook{BC20211,

title = {Chapter 2 - Edge computing–Foundations and applications},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Alberto Ochoa and Josue R. Martinez-Mireles and Jazmin Rodriguez-Flores and Israel Campero-Jurado and Miguel A. Ruiz-Jaimes.},

editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani.},

url = {https://doi.org/10.1016/B978-0-12-823694-9.00017-7},

doi = {https://doi.org/10.1016/B978-0-12-823694-9.00017-7},

isbn = {9780128236949},

year  = {2022},

date = {2022-01-03},

booktitle = {AI, Edge and IoT-based Smart Agriculture},

pages = {17-30},

publisher = {Elsevier},

chapter = {2},

abstract = {The potential use of edge computing encompasses industries such as transportation, healthcare, manufacturing, agriculture, smart farms, and energy, among others. This chapter aims to be a guide for understanding edge computing by presenting the foundations, characteristics, history, taxonomy applications, and future trends.},

keywords = {chapters},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{BC20212,

title = {Chapter 14 - Surveying smart farming for smart cities},

author = {Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara and Ocotlán Díaz-Parra and Julio C. Ramos-Fernández and Alejandro Fuentes-Penna and Alberto Ochoa-Zezzatti and José A. Hernández-Aguilar and Israel Campero-Jurado},

editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani},

url = {https://doi.org/10.1016/B978-0-12-823694-9.00014-1},

isbn = {9780128236949},

year  = {2022},

date = {2022-01-03},

booktitle = {AI, Edge and IoT-based Smart Agriculture},

pages = {241-262},

publisher = {Elsevier},

chapter = {18},

abstract = {Smart farming is the production of food from agriculture, livestock, and fisheries with technology to optimize water, energy, personnel, infrastructure, money, time, and food. In other words, smart farming is the optimal administration of the sowing, harvesting, and distribution of products derived from agriculture, livestock, and fisheries. This paper aims to be a guide for understanding smart production of foods/smart farming components by presenting a survey of the characteristics, taxonomy, history, and future trends.},

keywords = {chapters},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{BC20213,

title = {Chapter 28 - Internet of Things on sustainable aquaculture system},

author = {Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara and Alejandro Fuentes-Penna and Ocotlán Díaz-Parra and Francisco R. Trejo-Macotela and Israel Campero-Jurado and Miguel A. Ruiz-Jaimes and Yadira Toledo-Navarro},

editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani.},

url = {https://doi.org/10.1016/B978-0-12-823694-9.00009-8},

isbn = {9780128236949},

year  = {2022},

date = {2022-01-03},

booktitle = {AI, Edge and IoT-based Smart Agriculture},

pages = {487-503},

publisher = {Elsevier},

chapter = {38},

abstract = {The futurnoe of aquaculture is related to smart cities. The use of the Internet of Things on sustainable aquaculture systems will enable the optimization of water, energy, personnel, money, time, and food. The topics related to aquaculture and smart cities could be the Internet of Things in sustainable aquaculture systems, real-time monitoring of water quality, the development of forecasting systems in an aquaculture context, a sustainable fish farming system framework to make aquaculture more sustainable by reducing the need for energy to control the environment using Internet of Things (IoT), aquaculture 4.0, automated aquaponics system, access and control of pH level and temperature through the IoT, and others.},

keywords = {chapters},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{bc18,

title = {Chapter 18: Perishing Goods Transportation Problem: Fundamentals, Advances, and Applications},

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

editor = {Carlos Alberto Ochoa Ortiz and Gilberto Rivera-Zárate and Claudia Guadalupe Gómez-Santillán and Benito Sánchez-Lara },

doi = { 10.4018/978-1-5225-8131-4.ch018},

isbn = {9781522581314},

year  = {2019},

date = {2019-01-07},

booktitle = {Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities.},

pages = {315-338},

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}

}

@inbook{BC5,

title = {Vertical Transfer Algorithm for the School Bus Routing Problem},

author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Ma. Ángeles de los Buenabad-Arias and Ana Canepa-Saenz},

editor = {Mariana L Gavrilova and Kenneth C J Tan and Ajith Abraham},

url = {https://doi.org/10.1007/978-3-642-45318-2_9},

doi = {10.1007/978-3-642-45318-2_9},

isbn = {978-3-642-45317-5},

year  = {2013},

date = {2013-02-07},

volume = {8160},

pages = {211-229},

publisher = {Springer Berlin Heidelberg},

series = {Lecture Notes in Computer Science},

keywords = {chapters, School Bus Routing Problem},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{BC4,

title = {Complexity of Instances for Combinatorial Optimization Problems},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Joaquín Pérez-Ortega and Rodolfo A. Pazos R. and Gerardo Reyes-Salgado and Juan J. González-Barbosa},

editor = {Al-Dahoud Ali},

isbn = {978-953-7619-28-2},

year  = {2010},

date = {2010-02-07},

pages = {319-330},

publisher = {IN-TECH Education and Publishing},

chapter = {19},

keywords = {chapters, Combinatorial Optimization Problems},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{BC1,

title = {A Metric to Discriminate the Selection of Algorithms for General Problem ATSP},

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

editor = {Lovrek I. and Howlett R.J. and Jain L.C.},

url = {https://link.springer.com/chapter/10.1007%2F978-3-540-85563-7_19},

doi = {10.1007/978-3-540-85563-7_19},

isbn = {978-3-540-85562-0},

year  = {2008},

date = {2008-02-07},

volume = {5177},

pages = {106-113},

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 (data-mining 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 data-mining techniques.},

keywords = {Algorithms, chapters},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{BC2,

title = {Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm},

author = {Jorge A. Ruiz-Vanoye and José A. Zárate-Marceleño and Ocotlán Díaz-Parra and Vanesa Landero N.},

url = {https://link.springer.com/chapter/10.1007/978-3-540-69848-7_90},

doi = {10.1007/978-3-540-69848-7_90},

isbn = {978-3-540-69840-1},

year  = {2008},

date = {2008-02-07},

volume = {5073},

pages = {1131-1141},

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}

}