Monday, February 11, 2013

[C538.Ebook] Download Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang

Download Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang

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Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang

Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang



Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang

Download Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang

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Nature-Inspired Metaheuristic Algorithms: Second Edition, by Xin-She Yang

Modern metaheuristic algorithms such as particle swarm optimization and cuckoo 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 for global optimization, including ant and bee algorithms, bat algorithm, cuckoo search, differential evolution, firefly algorithm, genetic algorithms, harmony search, particle swarm optimization, simulated annealing and support vector machines. In this revised edition, we also include how to deal with nonlinear constraints. 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 well as for self study. As some of the algorithms such as the cuckoo search and firefly algorithms are at the forefront of current research, this book can also serve as a reference for researchers.

  • Sales Rank: #1481549 in Books
  • Published on: 2010-07-25
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x .34" w x 5.98" l, .49 pounds
  • Binding: Paperback
  • 160 pages
Features
  • ISBN13: 9781905986286
  • Condition: New
  • Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

Most helpful customer reviews

1 of 1 people found the following review helpful.
Great book
By Pranab Ghosh
It's a great book and hard to put down. I have always been fascinated by nature inspired algorithms. I wish the coverage was more in depth. The book provides a good overview. But, for a deeper understanding of the algorithms, you have to refer to the research papers cited at the end of the chapters.

0 of 0 people found the following review helpful.
Fair Introduction
By aletss
It is Small book Giving you an introduction of methods. Not a deep analysis.
I personally like it. It contains pseudocodes. The author has another book that contains this with conventional algorithms.

0 of 0 people found the following review helpful.
I like it
By Allan Christian Krainski Ferrari
I need to read more about book, but the book is excelent and cheap.This book has cuckoo algorithm, that is a new technique of optimization.

See all 5 customer reviews...

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