Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Diego Alberto Oliva Navarro"'
Publikováno v:
Research in Computing Science. 134:35-44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863f9b7e515aa05a5c5ea41ceae8f076
https://doi.org/10.13053/rcs-134-1-3
https://doi.org/10.13053/rcs-134-1-3
Autor:
Erik Cuevas, Diego Alberto Oliva Navarro, Marco A. Perez Cisneros, Noé Ortega Sánchez, Ángel Alejandro Juan Pérez
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Mathematics
Volume 8
Issue 9
Mathematics, Vol 8, Iss 1636, p 1636 (2020)
Universitat Oberta de Catalunya (UOC)
Mathematics
Volume 8
Issue 9
Mathematics, Vol 8, Iss 1636, p 1636 (2020)
The techniques of halftoning are widely used in marketing because they reduce the cost of impression and maintain the quality of graphics. Halftoning converts a digital image into a binary image conformed by dots. The output of the halftoning contain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3813eb418318921c5ab3b45e8ca0a09
https://doi.org/10.3390/math8091636
https://doi.org/10.3390/math8091636
Autor:
Erik Valdemar Cuevas Jiménez, Diego Alberto Oliva Navarro, Margarita Arimatea Díaz Cortés, José Valentín Osuna Enciso
El volumen Optimización. Algoritmos programados con MATLAB, excepcional en el idioma español, tiene como objetivo principal exponer los'métodos de cómputo evolutivo'de forma general y concisa para que cualquier lector interesado en el tema pueda
The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structur
Publikováno v:
Advances of Evolutionary Computation: Methods and Operators ISBN: 9783319285023
Many engineering applications can be faced as optimization problems. The solution of these types of problems involves the execution of computational expensive objective functions. Recently, Evolutionary Algorithms (EAs) are gaining popularity for sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119f8e11b8590e362de080ec06ee54e6
https://doi.org/10.1007/978-3-319-28503-0_7
https://doi.org/10.1007/978-3-319-28503-0_7
Publikováno v:
Advances of Evolutionary Computation: Methods and Operators ISBN: 9783319285023
Allostasis is a biological term recently coined which explains how the modifications of specialized organ conditions inside the body allow to achieve stability when an unbalance condition is presented. In this chapter, a biologically-inspired algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88db91c9d431967eb46688734513c861
https://doi.org/10.1007/978-3-319-28503-0_5
https://doi.org/10.1007/978-3-319-28503-0_5
Publikováno v:
Advances of Evolutionary Computation: Methods and Operators ISBN: 9783319285023
The ability of an Evolutionary Algorithm (EA) to find a global optimal solution depends on its capacity to find a good relation between exploitation of the found-so-far elements and exploration of the search space. Inspired by natural phenomena, rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb95d39299ffe84e3d373b2484a0093
https://doi.org/10.1007/978-3-319-28503-0_3
https://doi.org/10.1007/978-3-319-28503-0_3
Publikováno v:
Advances of Evolutionary Computation: Methods and Operators ISBN: 9783319285023
Swarm intelligence (SI) is an artificial intelligence discipline that concerns about the designing of intelligent multi-agent algorithms inspired on the collective behavior of social insects or animals. Several SI algorithms have been proposed to sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4771178b5f23fa3a2e22661d231a6167
https://doi.org/10.1007/978-3-319-28503-0_6
https://doi.org/10.1007/978-3-319-28503-0_6
Publikováno v:
Advances of Evolutionary Computation: Methods and Operators ISBN: 9783319285023
In this chapter, a metaheuristic algorithm for global optimization called the Collective Animal Behavior (CAB) is introduced. The algorithm is based on animal groups, such as schools of fish, flocks of birds, swarms of locusts, and herds of wildebees
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93c18950a97a198d57b8336c6e4977e1
https://doi.org/10.1007/978-3-319-28503-0_4
https://doi.org/10.1007/978-3-319-28503-0_4
Publikováno v:
Advances of Evolutionary Computation: Methods and Operators ISBN: 9783319285023
During the past decade, solving constrained optimization problems with swarm algorithms has received considerable attention among researchers and practitioners. In this chapter, a novel swarm algorithm called the Social Spider Optimization (SSO-C) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19ee2cea389a6df808ccc892692de2d7
https://doi.org/10.1007/978-3-319-28503-0_9
https://doi.org/10.1007/978-3-319-28503-0_9