Applied genetic algorithm and its variants : case studies and new developments / Nilanjan Dey, editor.
Dey, Nilanjan, 1984- editor.
2023
QA402.5
Available Online

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Title Applied genetic algorithm and its variants : case studies and new developments / Nilanjan Dey, editor.
ISBN 9789819934287 (electronic bk.)
9819934281 (electronic bk.)
9789819934270
9819934273
DOI https://doi.org/10.1007/978-981-99-3428-7
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (xi, 245 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-981-99-3428-7 doi
Call Number QA402.5
Dewey Decimal Classification 519.6/25
Summary This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 6, 2023).
Added Author Dey, Nilanjan, 1984- editor.
Series Springer tracts in nature-inspired computing, 2524-5538
Available in Other Form Print version: 9789819934270
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Record Appears in Online Resources > Ebooks
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