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Meta-heuristic and evolutionary algorithms for engineering optimization

Author: Omid Bozorg-Haddad; Mohammad Solgi; Hugo A Loaiciga
Publisher: Hoboken, NJ : John Wiley & Sons, [2017] ©2017
Series: Wiley series in operations research and management science.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Bozorg-Haddad, Omid, 1974-
Meta-heuristic and evolutionary algorithms for engineering optimization.
Hoboken, NJ : John Wiley & Sons, Inc., 2017
(DLC) 2017017765
(OCoLC)983154558
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Omid Bozorg-Haddad; Mohammad Solgi; Hugo A Loaiciga
ISBN: 9781119387060 111938706X 1119386993 9781119386995
OCLC Number: 1031030126
Description: 1 online resource (1 volume) : illustrations.
Contents: Overview of optimization --
Introduction to meta-heuristic and evolutionary algorithms --
Pattern search --
Genetic algorithm --
Simulated annealing --
Tabu search --
Ant colony optimization --
Particle swarm optimization --
Differential evolution --
Harmony search --
Shuffled frog-leaping algorithm --
Honey-bee mating optimization --
Invasive weed optimization --
Central force optimization --
Biogeography-based optimization --
Firefly algorithm --
Gravity search algorithm --
Bat algorithm --
Plant propagation algorithm --
Water cycle algorithm --
Symbiotic organisms search --
Comprehensive evolutionary algorithm.
Series Title: Wiley series in operations research and management science.
Responsibility: Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga.

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