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Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications

This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main...

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Detalles Bibliográficos
Autores principales: Castillo, Oscar, Melin, Patricia
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-10960-2
http://cds.cern.ch/record/1968704
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author Castillo, Oscar
Melin, Patricia
author_facet Castillo, Oscar
Melin, Patricia
author_sort Castillo, Oscar
collection CERN
description This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.
id cern-1968704
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
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spelling cern-19687042021-04-21T20:50:07Zdoi:10.1007/978-3-319-10960-2http://cds.cern.ch/record/1968704engCastillo, OscarMelin, PatriciaFuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applicationsEngineeringThis book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.Springeroai:cds.cern.ch:19687042015
spellingShingle Engineering
Castillo, Oscar
Melin, Patricia
Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
title Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
title_full Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
title_fullStr Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
title_full_unstemmed Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
title_short Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
title_sort fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-10960-2
http://cds.cern.ch/record/1968704
work_keys_str_mv AT castillooscar fuzzylogicaugmentationofnatureinspiredoptimizationmetaheuristicstheoryandapplications
AT melinpatricia fuzzylogicaugmentationofnatureinspiredoptimizationmetaheuristicstheoryandapplications