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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms

2nd edition

Paperback (14 Sep 2020)

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Publisher's Synopsis

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.

Book information

ISBN: 9780128219867
Publisher: Elsevier Science
Imprint: Academic Press
Pub date:
Edition: 2nd edition
DEWEY: 519.6
DEWEY edition: 23
Language: English
Number of pages: 332
Weight: 570g
Height: 235mm
Width: 191mm
Spine width: 20mm