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Differential Evolution: From Theory to Practice (Studies in Computational Intelligence,1009) 1st ed. 2022 Edition
Author: Kumar,B. Vinoth (Editor),Oliva,Diego (Editor),Suganthan,P. N. (Editor)
Publisher Finelybook 出版社: ; 1st ed. 2022 edition (January 26,2022)
Language 语言: English
pages 页数: 395 pages
ISBN-10 书号: 9811680817
ISBN-13 书号: 9789811680816
Book Description
This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances,such as the development of adaptive,self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable,non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution,from theory to applications. This book comprises contributions which include theoretical developments in DE,performance comparisons of DE,hybrid DE approaches,parallel and distributed DE for multi-objective optimization,software implementations,and real-world applications. The book is useful for researchers,practitioners,and students in disciplines such as optimization,heuristics,operations research and natural computing.
