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

Author/creator Bozorg-Haddad, Omid, 1974-
Other author Solgi, Mohammad, 1989-
Other author Loaiciga, Hugo A.
Format Electronic
Publication InfoHoboken, NJ : John Wiley & Sons, 2017.
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Mathematical optimization.
Engineering design--Mathematics.

SeriesWiley series in operations research and management science
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).
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Bozorg-Haddad, Omid, 1974- author. Meta-heuristic and evolutionary algorithms for engineering optimization Hoboken, NJ : John Wiley & Sons, 2017 9781119386995
Genre/formElectronic books.
LCCN 2017026412
ISBN9781119387077 (pdf)
ISBN9781119387060 (epub)

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Electronic Resources Access Content Online ✔ Available