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Advances in metaheuristic algorithms for optimal design of structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization,...

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Detalles Bibliográficos
Autor principal: Kaveh, A
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-05549-7
http://cds.cern.ch/record/1702335
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author Kaveh, A
author_facet Kaveh, A
author_sort Kaveh, A
collection CERN
description This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.  
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spelling cern-17023352021-04-21T21:01:42Zdoi:10.1007/978-3-319-05549-7http://cds.cern.ch/record/1702335engKaveh, AAdvances in metaheuristic algorithms for optimal design of structuresEngineeringThis book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.  Springeroai:cds.cern.ch:17023352014
spellingShingle Engineering
Kaveh, A
Advances in metaheuristic algorithms for optimal design of structures
title Advances in metaheuristic algorithms for optimal design of structures
title_full Advances in metaheuristic algorithms for optimal design of structures
title_fullStr Advances in metaheuristic algorithms for optimal design of structures
title_full_unstemmed Advances in metaheuristic algorithms for optimal design of structures
title_short Advances in metaheuristic algorithms for optimal design of structures
title_sort advances in metaheuristic algorithms for optimal design of structures
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-05549-7
http://cds.cern.ch/record/1702335
work_keys_str_mv AT kaveha advancesinmetaheuristicalgorithmsforoptimaldesignofstructures