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Titlebook: Metaheuristics: Outlines, MATLAB Codes and Examples; Ali Kaveh,Taha Bakhshpoori Book 2019 Springer Nature Switzerland AG 2019 meta-heurist

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发表于 2025-3-21 17:45:04 | 显示全部楼层 |阅读模式
书目名称Metaheuristics: Outlines, MATLAB Codes and Examples
编辑Ali Kaveh,Taha Bakhshpoori
视频videohttp://file.papertrans.cn/632/631381/631381.mp4
概述Provides easy to understand information on the novel and efficient metaheuristics developed by the authors.Useful for transformation of the algorithms from theory to practice for global optimization p
图书封面Titlebook: Metaheuristics: Outlines, MATLAB Codes and Examples;  Ali Kaveh,Taha Bakhshpoori Book 2019 Springer Nature Switzerland AG 2019 meta-heurist
描述.The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework.. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics.. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics..
出版日期Book 2019
关键词meta-heuristic algorithms; particle swarm optimization; colliding bodies optimization; pseudo code; Matl
版次1
doihttps://doi.org/10.1007/978-3-030-04067-3
isbn_ebook978-3-030-04067-3
copyrightSpringer Nature Switzerland AG 2019
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Artificial Bee Colony Algorithm, algorithm which was introduced by Karaboga in 2005 [1] based on the foraging behavior of honey bees. Other algorithms such as bee colony optimization [2] and bees algorithm [3] were also developed which are not the purpose of this chapter.
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Vibrating Particles System Algorithm, the free vibration of single degree of freedom systems with viscous damping. VPS has been used to solve some problems in the field of structural optimization, and the obtained results show its viability in convergence and accuracy [2–5].
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Ray Optimization Algorithm,Kaveh and Khayatazad [1] developed the Ray Optimization (RO) algorithm as a novel population-based metaheuristic conceptualized based on Snell’s light refraction law when light travels from a lighter medium to a darker medium. RO applied successfully to some of the structural optimization problems [2–5].
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Cyclical Parthenogenesis Algorithm,This chapter presents Cyclical Parthenogenesis Algorithm (CPA) proposed by Kaveh and Zolghadr [1]. CPA is inspired by reproduction and social behavior of some zoological species like aphids, which can reproduce with and without mating. It is applied by Kaveh and Zolghadr [2–4] successfully for some structural optimization problems.
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https://doi.org/10.1007/978-3-030-04067-3meta-heuristic algorithms; particle swarm optimization; colliding bodies optimization; pseudo code; Matl
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