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Titlebook: Frontier Applications of Nature Inspired Computation; Mahdi Khosravy,Neeraj Gupta,Tomonobu Senjyu Book 2020 Springer Nature Singapore Pte

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書目名稱Frontier Applications of Nature Inspired Computation
編輯Mahdi Khosravy,Neeraj Gupta,Tomonobu Senjyu
視頻videohttp://file.papertrans.cn/350/349066/349066.mp4
概述Describes advances in the theory and application of nature-inspired optimization techniques.Presents the latest findings, novel techniques and state-of-the-art applications of nature-inspired computin
叢書名稱Springer Tracts in Nature-Inspired Computing
圖書封面Titlebook: Frontier Applications of Nature Inspired Computation;  Mahdi Khosravy,Neeraj Gupta,Tomonobu Senjyu Book 2020 Springer Nature Singapore Pte
描述.This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications..Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications..
出版日期Book 2020
關(guān)鍵詞Optimization; Meta-Heuristics; Genetic Algorithms; Swarm Intelligence; Population Based Intelligence; Non
版次1
doihttps://doi.org/10.1007/978-981-15-2133-1
isbn_softcover978-981-15-2135-5
isbn_ebook978-981-15-2133-1Series ISSN 2524-552X Series E-ISSN 2524-5538
issn_series 2524-552X
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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