Differential Evolution: From Theory to Practice (1st ed. 2022) (Studies in Computational Intelligence #1009)

By: Diego Oliva and B. Vinoth Kumar and P. N. Suganthan

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9789811680823
Related ISBNs:: 9789811680816
Publisher:: Springer Singapore, Singapore
Date of Addition:: 04/29/22
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: P. N. Suganthan
Edited by:: Diego Oliva
Edited by:: B. Vinoth Kumar