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

Seyedali Mirjalili (Curatore)

Taylor & Francis Ltd, 2025

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.

• Curatore: Seyedali Mirjalili
• Editore: Taylor & Francis Ltd
• Collana: Advances in Metaheuristics
• Anno: 2025
• Rilegatura: Paperback / softback
• Pagine: 332 p.
• Dimensioni: 234 x 156 mm
• Peso: 640 gr.
• EAN: 9781032070926

Testo in English