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Titlebook: Metaheuristic and Evolutionary Computation: Algorithms and Applications; Hasmat Malik,Atif Iqbal,Farhad Ilahi Bakhsh Book 2021 The Editor(

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书目名称Metaheuristic and Evolutionary Computation: Algorithms and Applications
编辑Hasmat Malik,Atif Iqbal,Farhad Ilahi Bakhsh
视频video
概述Includes codes for each chapter to support beginners and facilitate project implementation.Discusses various applications of metaheuristics in engineering and the applied sciences.Presents contributio
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Metaheuristic and Evolutionary Computation: Algorithms and Applications;  Hasmat Malik,Atif Iqbal,Farhad Ilahi Bakhsh Book 2021 The Editor(
描述.This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book’s second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference..Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.
出版日期Book 2021
关键词Big Data Analytics; Optimization; Wide Area Monitoring; Machine Learning; Sales Prices Monitoring; Power
版次1
doihttps://doi.org/10.1007/978-981-15-7571-6
isbn_softcover978-981-15-7573-0
isbn_ebook978-981-15-7571-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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978-981-15-7573-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Metaheuristic and Evolutionary Computation: Algorithms and Applications978-981-15-7571-6Series ISSN 1860-949X Series E-ISSN 1860-9503
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Introduction: Optimization and Metaheuristics Algorithms The latest developments over the last few decades tend to use metaheuristic algorithms. In fact, a vast majority of modern optimization techniques includes metaheuristic algorithms. Metaheuristic algorithms such as Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony, Genetic
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