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Nature-Inspired Optimization Algorithms

Xin-She Yang




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 | #4293881 in Books |  2016-09-02 |  2016-06-30 | Original language:English |  9.00 x.63 x6.00l,.82 | File type: PDF | 300 pages

||0 of 0 people found the following review helpful.| Good book, but there is a duplicate one, just different name, almost same contents|By Kim Do-Yup|It is well-written book about metaheuristic algorithm. I bought both this book and "Nature-Inspired Metaheuristic Algorithms: Second Edition". The problem is both are almost same. I wasted money. however, owning one of them is valuable.|3 of 4 people found the following review help| ||"...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. A good, fresh read, highly recommended.

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