Jorge A. Ruiz-Vanoye

Dr. Jorge A. Ruiz-Vanoye

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Journal of Applied Mathematics
Verified
Journal Article
Open access
PDF file
ODOcotlan Diaz-Parra
Ocotlan Diaz-Parra
Jorge A. Ruiz-VanoyeJorge A. Ruiz-Vanoye
Jorge A. Ruiz-Vanoye
BLBeatriz Bernábe Loranca
Beatriz Bernábe Loranca
AFAlejandro Fuentes-Penna
Alejandro Fuentes-Penna
RBRicardo A. Barrera-Cámara
Ricardo A. Barrera-Cámara
This paper aims at being a guide to understand the different types of transportation problems by presenting a survey of mathematical models and algorithms used to solve different types of transportation modes (ship, plane, train, bus, truck, Motorcycle, Cars, and others) by air, water, space, cables, tubes, and road. Some problems are as follows: bus scheduling problem, delivery problem, combining truck trip problem, open vehicle routing problem, helicopter routing problem, truck loading problem, truck dispatching problem, truck routing problem, truck transportation problem, vehicle routing problem and variants, convoy routing problem, railroad blocking problem (RBP), inventory routing problem (IRP), air traffic flow management problem (TFMP), cash transportation vehicle routing problem, and so forth.

1 June 2011 in Journal of Computational and Applied Mathematics
Verified
Journal Article
Closed access
Jorge A. Ruiz-VanoyeJorge A. Ruiz-Vanoye
Jorge A. Ruiz-Vanoye
JPJoaquín Pérez-Ortega
Joaquín Pérez-Ortega
RPRodolfo A. Pazos
Rodolfo A. Pazos
ODOcotlan Diaz-Parra
Ocotlan Diaz-Parra
Juan Frausto SolisJuan Frausto Solis
Juan Frausto Solis
JFJosé A. Martínez F.
José A. Martínez F.

29 January 2025 in Fishes
Verified
Journal Article
Open access
PDF file
Jorge A. Ruiz-VanoyeJorge A. Ruiz-Vanoye
Jorge A. Ruiz-Vanoye
ODOcotlan Diaz-Parra
Ocotlan Diaz-Parra
Marco Antonio Marquez-VeraMarco Antonio Marquez-Vera
Marco Antonio Marquez-Vera
AFAlejandro Fuentes-Penna
Alejandro Fuentes-Penna
RBRicardo A. Barrera-Cámara
Ricardo A. Barrera-Cámara
MJMARCO ANTONIO VERA JIMENEZ
MARCO ANTONIO VERA JIMENEZ
The concept of Quality of Aquaculture Services (QoAS) is inspired by the Quality of Service (QoS) principle, originally developed in the field of networks and telecommunications, where it refers to the ability to guarantee the quality, availability, and priority of service in a communications system. Adapted to the aquaculture context, QoAS is fundamental to maximising the benefits of Integrated Multi-Trophic Aquaculture (IMTA). IMTA has emerged as a sustainable approach to meet the growing global demand for aquatic food products by combining species from different trophic levels in a single system, optimising resource use, improving environmental performance, and diversifying production. However, ensuring QoAS in these complex systems requires the implementation of advanced technologies to monitor, manage, and optimise every aspect of the aquaculture process. This article presents a comprehensive review of technologies applied at IMTA, focusing on IoT-based monitoring systems, resource management algorithms, water recirculation technologies, intelligent automation, biosecurity, and data management platforms. Our review finds that IoT and automation-based solutions significantly enhance real-time monitoring, increasing operational efficiency and environmental sustainability. Key challenges identified include integration complexity, high costs, and technical expertise requirements, but the ongoing development of modular, user-friendly solutions indicates a promising trajectory. This review highlights the transformative role of technological innovation in IMTA, providing a foundation for future research and advancements in QoAS management in aquaculture.

5 February 2010 in Central European Journal of Operations Research
Verified
Journal Article
Closed access
PDF file
Jorge A. Ruiz-VanoyeJorge A. Ruiz-Vanoye
Jorge A. Ruiz-Vanoye
ODOcotlan Diaz-Parra
Ocotlan Diaz-Parra

1 November 2012
Verified
Conference Paper
Closed access
ODOcotlan Diaz-Parra
Ocotlan Diaz-Parra
Jorge A. Ruiz-VanoyeJorge A. Ruiz-Vanoye
Jorge A. Ruiz-Vanoye
ABAngeles Buenabad-Arias
Angeles Buenabad-Arias
FCFelipe Cocon
Felipe Cocon
In this paper is a solution to the School Bus Routing Problem by the application of a bio-inspired algorithm in the vertical transfer of genetic material to offspring or the inheritance of genes by subsequent generations. The vertical transfer algorithm or Genetic algorithm uses the clusterization population pre-selection operator, tournament selection, crossover-k operator and an intelligent mutation operator called mutation-S. The use of the bio-inspired algorithm to solve SBRP instances show good results about Total Bus Travel Distance and the Number of Buses with the Routes.

30 March 2018 in Polish Journal of Environmental Studies
Verified
Journal Article
Closed access
Jorge A. Ruiz-VanoyeJorge A. Ruiz-Vanoye
Jorge A. Ruiz-Vanoye
RBRicardo A. Barrera-Cámara
Ricardo A. Barrera-Cámara
ODOcotlan Diaz-Parra
Ocotlan Diaz-Parra
AFAlejandro Fuentes-Penna
Alejandro Fuentes-Penna
JOJoaquín Pérez Ortega
Joaquín Pérez Ortega
JSJudith del Carmen Santiago-Pérez
Judith del Carmen Santiago-Pérez
This paper aims to guide understanding of the different types of optimization problems of water distribution networks by presenting a survey of mathematical models and algorithms used to solve the variants of said networks. Problems include water resource planning, water quality management, water supply networks, water distribution systems, water flow and chemical transport, and water distribution network. Optimizing resources to transport water is an issue of global interest and is important to minimize the costs of construction of pipeline to supply water, repair costs, and water transportation.