Nature-inspired optimization algorithms

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization.The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chos...

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Bibliographic Details
Main Author: Yang, Xin-She
Format: eBook Book
Language:English
Published: London Elsevier 2014
Edition:1
Series:Elsevier insights
Subjects:
Algorithms
Distributed processing
Electronic data processing
Mathematical optimization
ISBN:0124167438, 9780124167438, 0124167454, 9780124167452
Online Access:Get full text
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Summary:Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization.The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms.
Bibliography:Includes bibliographical references
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Title from title screen.
ISBN:0124167438
9780124167438
0124167454
9780124167452
DOI:10.1016/C2013-0-01368-0