Differential evolution : from theory to practice / B. Vinoth Kumar, Diego Oliva, P. N. Suganthan, editors.
Kumar, B. Vinoth, editor.; Oliva, Diego, editor.; Suganthan, Ponnuthurai Nagaratnam, editor.
2022
QA377.3
Available Online

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Title Differential evolution : from theory to practice / B. Vinoth Kumar, Diego Oliva, P. N. Suganthan, editors.
ISBN 9789811680823 (electronic bk.)
9811680825 (electronic bk.)
9811680817
9789811680816
DOI https://doi.org/10.1007/978-981-16-8082-3
Imprint Singapore : Springer, 2022.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-981-16-8082-3 doi
Call Number QA377.3
Dewey Decimal Classification 515/.35
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 3, 2022).
Added Author Kumar, B. Vinoth, editor.
Oliva, Diego, editor.
Suganthan, Ponnuthurai Nagaratnam, editor.
Series Studies in computational intelligence ; v. 1009. 1860-9503
Available in Other Form Print version: 9789811680816
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Record Appears in Online Resources > Ebooks
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