Handbook of Moth-Flame Optimization Algorithm:Variants, Hybrids, Improvements, and Applications
商品資訊
系列名:Advances in Metaheuristics
ISBN13:9781032070926
出版社:PBKTYFRL
作者:Mirjalili; Seyedali
出版日:2025/03/13
裝訂/頁數:平裝/332頁
規格:15.6cm*23.4cm (高/寬)
商品簡介
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.
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