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books
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Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications
Edited by Seyedali Mirjalili
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normal price: R 4 553.95
Price: R 4 098.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 20 Sep 2022
Language |
Format | Hardback
Pages | 332
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 453g
ISBN | 978-1-0320-7091-9
Readership Age |
BISAC | computers / programming / algorithms
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Normally shipped |
Readership Age |
Normal Price | R 5 383.95
Price | R 4 845.95
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