Average Reviews:
(More customer reviews)Based upon the writeups at Amazon, I thought this would be more algorithm oriented but it turned out to be more theory oriented with very little "practical, implementation algorithms" orientation that I had bought the book in hopes of.It is interesting and very worthwhile if you're looking for more theory stuff...just don't buy it thinking it is going to be algorithm oriented.
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Product Description:
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 forefrontof current research, this book can also serve as a reference book for researchers.
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