Nature-Inspired Optimization Algorithms (Paperback, 2nd edition)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	September 2020
First published:	2021
Authors:	Xin-She Yang
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	310
Edition:	2nd edition
ISBN-13:	978-0-12-821986-7
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Promotions
LSN:	0-12-821986-6
Barcode:	9780128219867

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