Výsledky vyhledávání - "Angulo Sanchez‐Herrera, Eusebio"

Akademický článek

A data‐driven approach to predicting the most valuable player in a game.

Autor: Romero, Francisco P., Lozano‐Murcia, Catalina, Lopez‐Gomez, Julio A., Angulo Sanchez‐Herrera, Eusebio, Sanchez‐Lopez, Eduardo

Publikováno v: Computational & Mathematical Methods; Jul2021, Vol. 3 Issue 4, p1-11, 11p

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Akademický článek

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A framework for derivative free algorithm hybridization

Autor: Angulo Sanchez-Herrera, Eusebio, Garcia Rodenas, Ricardo, Espinosa Aranda, Jose Luis

Publikováno v: RUIdeRA. Repositorio Institucional de la UCLM
instname
RUIdeRA: Repositorio Institucional de la UCLM
Universidad de Castilla-La Mancha

Column generation is a basic tool for the solution of largescale mathematical programming problems. We present a class of column generation algorithms in which the columns are generated by derivative free algorithms, like population-based algorithms.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5ffdd819b38bbe5907998a388afe6759
http://hdl.handle.net/10578/3007

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An adaptive approach to enhanced traffic signal optimization by using soft-computing techniques

Autor: Serrano Guerrero, JesÚs, Garcia Rodenas, Ricardo, Olivas Varela, Jose Angel, Romero Chicharro, Francisco Pascual, Angulo Sanchez-Herrera, Eusebio

Publikováno v: RUIdeRA. Repositorio Institucional de la UCLM
instname

This paper presents an application of diverse soft-computing techniques to adaptive traffic light controls. The proposed methodology consists of two main phases: off-line and on-line. First, clustering techniques and optimization methods are used at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::812408d87c57402d20402dc14e687323
http://hdl.handle.net/10578/3003

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A Methodology for the Automatic Regulation of Intersections in Real Time using Soft-computing Techniques

Autor: Angulo Sanchez-Herrera, Eusebio, Serrano Guerrero, JesÚs, Romero Chicharro, Francisco Pascual, Garcia Rodenas, Ricardo

Publikováno v: RUIdeRA: Repositorio Institucional de la UCLM
Universidad de Castilla-La Mancha
RUIdeRA. Repositorio Institucional de la UCLM
instname

This work presents an application of diverse soft-computing techniques to the resolution of semaphoric regulation problems. First, clustering techniques are used to discover the prototypes which characterize the mobility patterns at an intersection.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::96018f7b52ec03bbfde66b0797033cd2
http://hdl.handle.net/10578/3002

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