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Handbook of Moth-Flame Optimization Algorithm

Variants, Hybrids, Improvements, and Applications

Medium: Buch
ISBN: 978-1-032-07092-6
Verlag: Taylor & Francis Ltd (Sales)
Erscheinungstermin: 12.03.2025
Lieferfrist: bis zu 10 Tage

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 algorithm

- Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm

- Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems

- Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm

- Introduces several applications areas of the Moth-Flame Optimization algorithm

This 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.


Produkteigenschaften


  • Artikelnummer: 9781032070926
  • Medium: Buch
  • ISBN: 978-1-032-07092-6
  • Verlag: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 12.03.2025
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2025
  • Serie: Advances in Metaheuristics
  • Produktform: Kartoniert
  • Gewicht: 485 g
  • Seiten: 346
  • Format (B x H x T): 156 x 234 x 18 mm
  • Ausgabetyp: Kein, Unbekannt
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