Handbook of Moth-Flame Optimization Algorithm
Variants, Hybrids, Improvements, and Applications
Inbunden, Engelska, 2022
2 019 kr
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Fri frakt för medlemmar vid köp för minst 249 kr.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 algorithmProvides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithmProposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problemsDemonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithmIntroduces several applications areas of the Moth-Flame Optimization algorithmThis 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.
Produktinformation
- Utgivningsdatum2022-09-20
- Mått156 x 234 x 23 mm
- Vikt453 g
- FormatInbunden
- SpråkEngelska
- SerieAdvances in Metaheuristics
- Antal sidor332
- FörlagTaylor & Francis Ltd
- ISBN9781032070919