Nature-Inspired Metaheuristic Algorithms Contributor(s): Yang, Xin-She (Author) |
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ISBN: 1905986106 ISBN-13: 9781905986101 Publisher: Luniver Press
Binding Type: Paperback Published: February 2008 Annotation: 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. |
Additional Information |
BISAC Categories: - Mathematics | Applied - Technology & Engineering | Engineering (general) - Computers | Computer Science |
Dewey: 519.3 |
Physical Information: 0.27" H x 6" W x 9" L (0.40 lbs) 128 pages |
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