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Handbook of Moth-Flame Optimization Algorithm

Variants, Hybrids, Improvements, and Applications

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Buch. Softcover

2025

332 S. 25 s/w-Abbildungen, 55 Farbabbildungen, 11 s/w-Fotos, 4 Farbfotos, 14 s/w-Zeichnungen, 51 Farbzeichnungen.

In englischer Sprache

Taylor & Francis Ltd. ISBN 978-1-03-207092-6

Format (B x L): 15.6 x 23.4 cm

Produktbeschreibung

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.