Item description for Nature-Inspired Metaheuristic Algorithms by Xin-She Yang...
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.
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Est. Packaging Dimensions: Length: 8.8" Width: 5.9" Height: 0.4" Weight: 0.4 lbs.
Release Date Feb 1, 2008
Publisher Luniver Press
ISBN 1905986106 ISBN13 9781905986101
Availability 148 units. Availability accurate as of May 25, 2017 01:37.
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More About Xin-She Yang
Xin-She Yang received his DPhil in applied mathematics from the University of Oxford. He is currently a research fellow at the Univer-sity of Cambridge. He is also the author of the book "An Introduction to Computational Engineering With Matlab (CISP, 2006).
Xin-She Yang currently resides in Cambridge. Xin-She Yang has an academic affiliation as follows -
"University of Cambridge, UK" University of Cambridge, UK