Nature-Inspired Metaheuristic Algorithms (Paperback) (ISBN-13: 9781905986101)

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.

Author: Xin-She Yang
ISBN-10: 1905986106
ISBN-13: 9781905986101
Publisher: Luniver Press
Language: English
Published: 02/01/2008
Pages: 128
Format: Paperback
Weight: 0.40lbs
Size: 9.00h x 6.00w x 0.27d