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Titlebook: Handbook of Swarm Intelligence; Concepts, Principles Bijaya Ketan Panigrahi,Yuhui Shi,Meng-Hiot Lim Book 2011 Springer-Verlag Berlin Heidel

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書目名稱Handbook of Swarm Intelligence
副標題Concepts, Principles
編輯Bijaya Ketan Panigrahi,Yuhui Shi,Meng-Hiot Lim
視頻videohttp://file.papertrans.cn/423/422265/422265.mp4
概述Comprehensive study of both theoretical and algorithmic analysis of swarm intelligence techniques..Provides real-world applications of SI techniques.Written by leading experts in this field
叢書名稱Adaptation, Learning, and Optimization
圖書封面Titlebook: Handbook of Swarm Intelligence; Concepts, Principles Bijaya Ketan Panigrahi,Yuhui Shi,Meng-Hiot Lim Book 2011 Springer-Verlag Berlin Heidel
描述.From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more.? It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, .albeit. swarm intelligence (SI) - a metaphor that inspires a myriad of computational problem-solving techniques.? In computational intelligence, swarm-like algorithms have been successfully applied to solve many real-world problems in engineering and sciences. This handbook volume serves as a useful foundational as well as consolidatory state-of-art collection of articles in the field from various researchers around the globe.? It has a rich collection of contributions pertaining to the theoretical and empirical study of single and multi-objective variants of swarm intelligence based algorithms like .particle swarm optimization. (PSO), .ant colony optimization. (ACO), .bacterial foraging optimization algorithm. (BFOA), .honey bee social foraging algorithms., and .harmony search. (HS).? With chapters describing various applications of SI techniques in real-world engineering pr
出版日期Book 2011
關(guān)鍵詞Ant Colony Optimization; Bacterial Foraging; Harmony Search; Particle Swarm Optimization; Swarm Intellig
版次1
doihttps://doi.org/10.1007/978-3-642-17390-5
isbn_softcover978-3-642-26689-8
isbn_ebook978-3-642-17390-5Series ISSN 1867-4534 Series E-ISSN 1867-4542
issn_series 1867-4534
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

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978-3-642-26689-8Springer-Verlag Berlin Heidelberg 2011
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Adaptation, Learning, and Optimizationhttp://image.papertrans.cn/h/image/422265.jpg
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From Theory to Practice in Particle Swarm Optimizationexploration may be not what we intuitively think, and b) a mean best result may be meaningless. The second point is obviously quite important when two algorithms are compared. These are discussed in the appendix. We believe that these points would be useful to researchers in the field for analysis a
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Test Function Generators for Assessing the Performance of PSO Algorithms in Multimodal Optimizationts good overall performance, particularly in continuous optimization problems. As PSO is adopted in more types of application domains, it becomes more important to have well-established methodologies to assess its performance. For that purpose, several test problems have been proposed. In this chapt
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