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Meta-heuristic and evolutionary algorithms for engineering optimization / Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga.

By: Bozorg-Haddad, Omid, 1974- [author.].
Contributor(s): Solgi, Mohammad, 1989- [author.] | Loaiciga, Hugo A [author.].
Material type: materialTypeLabelBookSeries: Wiley series in operations research and management science.Publisher: Hoboken, NJ : Wiley, c2017Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119387053; 9781119387060 (epub).Subject(s): Mathematical optimization | Engineering design -- MathematicsAdditional physical formats: Print version:: Meta-heuristic and evolutionary algorithms for engineering optimizationDDC classification: 620.0042015196/HAM Online resources: Click here to access online
Contents:
Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).
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E-book CUET CENTRAL LIBRARY
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620.0042015196/HAM (Browse shelf) 1 Not For Loan E-42

Includes bibliographical references and index.

Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).

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