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Handbook of Moth-Flame Optimization Algorithm : Variants, Hybrids, Improvements, and Applications

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Leveringstid: 3-10 dager

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Omtale

Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges.Key Features: Reviews the literature of the Moth-Flame Optimization algorithmProvides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithmProposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problemsDemonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithmIntroduces several applications areas of the Moth-Flame Optimization algorithmThis handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.

  • Utgivelsesdato:

    12.03.2025

  • ISBN/Varenr:

    9781032070926

  • Språk:

    Engelsk

  • Forlag:

    CRC Press

  • Innbinding:

    Heftet

  • Fagtema:

    Økonomi, finans, næringsliv og ledelse

  • Serie:

    Advances in Metaheuristics

  • Litteraturtype:

    Faglitteratur

  • Sider:

    332

  • Høyde:

    23.4 cm

  • Bredde:

    15.6 cm

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