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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
Themen
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Algorithmen & Datenstrukturen
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik
- EDV | Informatik
- Programmierung | Softwareentwicklung
- Algorithmen & Datenstrukturen