Differential Evolution: From Theory to Practice Paperback - 2023
by B. Vinoth Kumar (Editor); Diego Oliva (Editor); P. N. Suganthan (Editor)
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From the publisher
From the rear cover
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.
Details
- Title Differential Evolution: From Theory to Practice
- Author B. Vinoth Kumar (Editor); Diego Oliva (Editor); P. N. Suganthan (Editor)
- Binding Paperback
- Pages 381
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2023-01-27
- Illustrated Yes
- Features Illustrated
- ISBN 9789811680847 / 9811680841
- Weight 1.22 lbs (0.55 kg)
- Dimensions 9.21 x 6.14 x 0.81 in (23.39 x 15.60 x 2.06 cm)
- Category Technology & Industrial Arts
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Differential Evolution: From Theory to Practice: 1009 (Studies in Computational Intelligence, 1009)
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Differential Evolution: From Theory to Practice
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