| 书目名称 | Frontier Applications of Nature Inspired Computation | | 编辑 | Mahdi Khosravy,Neeraj Gupta,Tomonobu Senjyu | | 视频video | | | 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 | | 丛书名称 | Springer Tracts in Nature-Inspired Computing | | 图书封面 |  | | 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 | | 关键词 | Optimization; Meta-Heuristics; Genetic Algorithms; Swarm Intelligence; Population Based Intelligence; Non | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-2133-1 | | isbn_softcover | 978-981-15-2135-5 | | isbn_ebook | 978-981-15-2133-1Series ISSN 2524-552X Series E-ISSN 2524-5538 | | issn_series | 2524-552X | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 19:11:24
