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Meta-heuristic and evolutionary algorithms for engineering optimization / Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Lo(acute)aiciga.

By: Contributor(s): Series: Wiley series in operations research and management sciencePublisher: Hoboken, NJ : John Wiley & Sons, [2017]Copyright date: (copy)2017Description: 1 online resource (1 volume) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119387060
  • 111938706X
Subject(s): Genre/Form: Additional physical formats: Print version:: Meta-heuristic and evolutionary algorithms for engineering optimization.LOC classification:
  • QA402.5
Online resources:
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.
Item type: eBooks
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Description based on print version record.

Includes bibliographical references.

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.

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