Differential Evolution: From Theory to Practice (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 1009
Release date:	2022
First published:	2022
Editors:	B. Vinoth Kumar • Diego Oliva • P.N Suganthan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	381
Edition:	1st ed. 2022
ISBN-13:	978-981-16-8081-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	981-16-8081-7
Barcode:	9789811680816

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