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Nature-Inspired Optimization Algorithms

Xin-She Yang




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 | #3104682 in Books |  2016-09-02 |  2016-06-30 | Original language:English |  9.00 x.63 x6.00l,.82 | File type: PDF | 300 pages

||3 of 4 people found the following review helpful.| The book does not provide a comprehensive comparison to highlight each algorithm performance.|By Mustafa|1- The book presents some new algorithms, such as Bat, Cuckoo, and Flower algorithms. However, the author always shows a comparison with other algorithms like GA and PSO but there is no comparison provided between Bat, Cuckoo, and Flower algorithms.
2- The author wrote| ||"...the book is well written and easy to follow, even for algorithmic and mathematical laymen. Since the book focuses on optimization algorithms, it covers a very important and actual topic."--IEEE Communications Magazine, Nature-Inspired Optimization A

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly ...

You can specify the type of files you want, for your device.Nature-Inspired Optimization Algorithms   |  Xin-She Yang. I really enjoyed this book and have already told so many people about it!

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