Nature-Inspired Metaheuristic Algorithms - Softcover

Yang, Xin-She

Softcover

ISBN 10: 1905986106 ISBN 13: 9781905986101

Publisher: Luniver Press, 2008

Synopsis

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.

Edition details

• Publisher: Luniver Press
• Publication date: 2008
• Language: English
• ISBN 10: 1905986106
• ISBN 13: 9781905986101
• Binding: Paperback
• Number of pages: 128