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

Author
Bozorg-Haddad, Omid, 1974- [Browse]
Format
Book
Language
English
Published/​Created
  • Hoboken, NJ : John Wiley & Sons, Inc., 2017.
  • ©2017
Description
xxiii, 280 pages ; 24 cm.

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Engineering Library - Stacks QA402.5 .B695 2017 Browse related items Request

    Details

    Subject(s)
    Author
    Series
    Wiley series in operations research and management science [More in this series]
    Bibliographic references
    Includes bibliographical references and index.
    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).
    ISBN
    • 9781119386995 ((hardcover))
    • 1119386993 ((hardcover))
    LCCN
    2017017765
    OCLC
    983154558
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