
Handbook of Moth-Flame Optimization Algorithm
Variants, Hybrids, Improvements, and Applications
- 332 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Handbook of Moth-Flame Optimization Algorithm
Variants, Hybrids, Improvements, and Applications
About this book
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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Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Editor
- Contributors
- Section I Moth-Flame Optimization Algorithm for Different Optimization Problems
- Section II Variants of Moth-Flame Optimization Algorithm
- Section III Hybrids and Improvements of Moth-Flame Optimization Algorithm
- Section IV Applications of Moth-Flame Optimization Algorithm
- Index