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

By: Contributor(s): Material type: TextTextSeries: Wiley series in operations research and management sciencePublication details: USA John Wiley 2017Description: 280 pISBN:
  • 9781119386995 (cloth)
Subject(s): Additional physical formats: Online version:: Meta-heuristic and evolutionary algorithms for engineering optimizationDDC classification:
  • 620.0042015196 BOZ-O 23
LOC classification:
  • QA402.5 .B695 2017
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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Holdings
Item type Current library Collection Shelving location Call number Status Notes Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 620 General Stack (For lending) 620.0042015196 BOZ-O (Browse shelf(Opens below)) Available Project Book : Prof. A Vasan 35678
Total holds: 0

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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