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Titlebook: Glowworm Swarm Optimization; Theory, Algorithms, Krishnanand N. Kaipa,Debasish Ghose Book 2017 Springer International Publishing AG 2017 G

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發(fā)表于 2025-3-21 16:56:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Glowworm Swarm Optimization
副標(biāo)題Theory, Algorithms,
編輯Krishnanand N. Kaipa,Debasish Ghose
視頻videohttp://file.papertrans.cn/388/387039/387039.mp4
概述Presents a comprehensive account of the glowworm swarm optimization (GSO) algorithm.Provides details on various aspects including the underlying ideas, theoretical foundations, algorithm development,
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Glowworm Swarm Optimization; Theory, Algorithms, Krishnanand N. Kaipa,Debasish Ghose Book 2017 Springer International Publishing AG 2017 G
描述This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization..?.The book is a valuable resource for researchers as well as graduate and undergraduate studentsin the area of swarm intelligence and computational intelligence and working on these topics..
出版日期Book 2017
關(guān)鍵詞Glowworm Swarm Optimization Algorithm; GSO Algorithm; Swarm Intelligence; Computational Intelligence; In
版次1
doihttps://doi.org/10.1007/978-3-319-51595-3
isbn_softcover978-3-319-84694-1
isbn_ebook978-3-319-51595-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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發(fā)表于 2025-3-21 22:14:30 | 只看該作者
1860-949X eering design optimization..?.The book is a valuable resource for researchers as well as graduate and undergraduate studentsin the area of swarm intelligence and computational intelligence and working on these topics..978-3-319-84694-1978-3-319-51595-3Series ISSN 1860-949X Series E-ISSN 1860-9503
板凳
發(fā)表于 2025-3-22 00:57:06 | 只看該作者
地板
發(fā)表于 2025-3-22 05:58:01 | 只看該作者
Bootstrapping an Incubation Program,ermined. Third, it is shown that glowworms, under the influence of two leaders with overlapping neighborhoods, asymptotically converge to one of the leaders. Some illustrative simulations are presented to support these theoretical findings.
5#
發(fā)表于 2025-3-22 11:24:40 | 只看該作者
Earll Murman,Thomas Allen,Sheila Widnallroduced, which is followed by a description of the phases that constitute each cycle of the algorithm. GSO, in its present form, has evolved out of several significant modifications incorporated into the earlier versions of the algorithm. Many ideas were considered in the development process before converging upon the current GSO version.
6#
發(fā)表于 2025-3-22 14:36:41 | 只看該作者
Total Productive IT-Operations,ion tasks. The basic GSO algorithm, which was applied to multimodal optimization and signal source localization problems, considers a homogeneous swarm of mobile agents. In this chapter, a GSO variant for a heterogeneous swarm of mobile and stationary agents is developed and its application to ubiquitous computing environments is discussed.
7#
發(fā)表于 2025-3-22 18:55:03 | 只看該作者
Glowworm Swarm Optimization: Algorithm Development,roduced, which is followed by a description of the phases that constitute each cycle of the algorithm. GSO, in its present form, has evolved out of several significant modifications incorporated into the earlier versions of the algorithm. Many ideas were considered in the development process before converging upon the current GSO version.
8#
發(fā)表于 2025-3-22 22:12:07 | 只看該作者
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發(fā)表于 2025-3-23 01:37:22 | 只看該作者
978-3-319-84694-1Springer International Publishing AG 2017
10#
發(fā)表于 2025-3-23 06:15:53 | 只看該作者
Glowworm Swarm Optimization978-3-319-51595-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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