Description: 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.
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EAN: 9780128219867
UPC: 9780128219867
ISBN: 9780128219867
MPN: N/A
Book Title: Nature-Inspired Optimization Algorithms
Item Length: 23.1 cm
Number of Pages: 310 Pages
Publication Name: Nature-Inspired Optimization Algorithms
Language: English
Publisher: Elsevier Science Publishing Co Inc
Item Height: 229 mm
Subject: Engineering & Technology
Publication Year: 2020
Type: Textbook
Item Weight: 570 g
Subject Area: Bioengineering
Author: Xin-She Yang
Item Width: 152 mm
Format: Paperback
