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Handbook of moth-flame optimization algorithm : variants, hybrids, improvements, and applications / edited by Seyedali Mirjalili.

By: Contributor(s): Series: Advances in metaheuristsPublisher: Boca Raton : CRC Press, Taylor & Francis Group, 2023Description: xiv, 331p. illContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781032070926
Subject(s): Additional physical formats: Print version:: Handbook of moth-flame optimization algorithmDDC classification:
  • 006.3/82 23/eng20220901
LOC classification:
  • QA 76.9 .N37
Summary: "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, noisy parameters, just to name a few. 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, meta-heuristics and to those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books NILE UNIVERSITY OF NIGERIA - MAIN LIBRARY QA 76.9 .N37 2023 (Browse shelf(Opens below)) Available 0199367
Total holds: 0

Includes index.

"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, noisy parameters, just to name a few. 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, meta-heuristics and to those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas"-- Provided by publisher.

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