Nature-Inspired Optimization Algorithms

Xin-She Yang

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Language: English

Published by Elsevier Science Publishing Co Inc, US, 2020

0128219866 / 9780128219867

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Nature-Inspired Optimization Algorithms, Second Edition provides an 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 case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications.

Seller Inventory # LU-9780128219867

Title
Nature-Inspired Optimization Algorithms
Author
Xin-She Yang
Publisher
Elsevier Science Publishing Co Inc, US
Publication year
2020
Condition
New
Binding
Paperback
Language
English
ISBN 10
0128219866
ISBN 13
9780128219867
Edition
2nd Edition
Item weight
570 grams

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