Applied optimization and swarm intelligence / Eneko Osaba, Xin-She Yang, editors.
Osaba, Eneko, editor.; Yang, Xin-She, editor.
2021
Q337.3
Available Online

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Title Applied optimization and swarm intelligence / Eneko Osaba, Xin-She Yang, editors.
ISBN 9789811606625 (electronic bk.)
9811606625 (electronic bk.)
9789811606618
9811606617
DOI https://doi.org/10.1007/978-981-16-0662-5
Published Singapore : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (236 pages)
Other Standard Identifiers 10.1007/978-981-16-0662-5 doi
Call Number Q337.3
Dewey Decimal Classification 006.3/824
Summary This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Osaba, Eneko, editor.
Yang, Xin-She, editor.
Series Springer tracts in nature-inspired computing.
Available in Other Form Applied Optimization and Swarm Intelligence.
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Record Appears in Online Resources > Ebooks
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