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Swarm Intelligence
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Swarm Intelligence : Principles, Advances, and Applications

Book Details

Format Hardback or Cased Book
ISBN-10 1498741061
ISBN-13 9781498741064
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture US
Country of Publication GB
Publication Date Nov 24th, 2015
Print length 228 Pages
Weight 630 grams
Dimensions 18.60 x 26.10 x 1.80 cms
Ksh 20,700.00
Werezi Extended Catalogue 0 in stock

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This book delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The text begins by addressing basic concepts related to swarm intelligence, such as randomness and chaos theory. It then describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible. The book not only details the similarities, differences, weaknesses, and strengths of each method, but also depicts real-world applications, emphasizing variable selection and fitness function design.

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then:

  • Describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible
  • Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers
  • Depicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function design
  • Details the similarities, differences, weaknesses, and strengths of each swarm optimization method
  • Draws parallels between the operators and searching manners of the different algorithms

Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods, complete with illustrative examples and an extendable MATLAB® package for feature selection in wrapper mode applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm intelligence fundamentals, and offers experts valuable insight into new directions and hybridizations.


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