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Recent Advances in Swarm Intelligence and Evolutionary Computation
By Xin-she Yang (editor)
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Bibliographic Detail
Publisher Springer-Verlag New York Inc
Publication date January 8, 2015
Pages 300
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9783319138251
ISBN-10 3319138251
Dimensions 1 by 6.25 by 9.25 in.
Weight 1.25 lbs.
Original list price $129.00
Summaries and Reviews
Amazon.com description: Product Description:

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others.

As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.



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Hardcover
Book cover for 9783319138251
 
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from Springer-Verlag New York Inc (January 8, 2015)
9783319138251 | details & prices | 300 pages | 6.25 × 9.25 × 1.00 in. | 1.25 lbs | List price $129.00
About: This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation.

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