Chaotic Meta-heuristic Algorithms for Optimal Design of Structures
In this book, various chaos maps are embedded in eleven efficient and well-known metaheuristics and a significant improvement in the optimization results is achieved. The two basic steps of metaheuristic algorithms consist of exploration and exploitation. The imbalance between these stages causes serious problems for metaheuristic algorithms, which are immature convergence and stopping in local optima. Chaos maps with chaotic jumps can save algorithms from being trapped in local optima and lead to convergence toward global optima. Embedding these maps in the exploration phase, exploitation phase, or both simultaneously corresponds to three efficient and useful scenarios. By creating competition between different modes and increasing diversity in the search space and creating sudden jumps in the search phase, improvements are achieved for chaotic algorithms. Four Chaotic Algorithms, including Chaotic Cyclical Parthenogenesis Algorithm, Chaotic Water Evaporation Optimization, Chaotic Tug-of-War Optimization, and Chaotic Thermal Exchange Optimization are developed.

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Chaotic Meta-heuristic Algorithms for Optimal Design of Structures
In this book, various chaos maps are embedded in eleven efficient and well-known metaheuristics and a significant improvement in the optimization results is achieved. The two basic steps of metaheuristic algorithms consist of exploration and exploitation. The imbalance between these stages causes serious problems for metaheuristic algorithms, which are immature convergence and stopping in local optima. Chaos maps with chaotic jumps can save algorithms from being trapped in local optima and lead to convergence toward global optima. Embedding these maps in the exploration phase, exploitation phase, or both simultaneously corresponds to three efficient and useful scenarios. By creating competition between different modes and increasing diversity in the search space and creating sudden jumps in the search phase, improvements are achieved for chaotic algorithms. Four Chaotic Algorithms, including Chaotic Cyclical Parthenogenesis Algorithm, Chaotic Water Evaporation Optimization, Chaotic Tug-of-War Optimization, and Chaotic Thermal Exchange Optimization are developed.

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Chaotic Meta-heuristic Algorithms for Optimal Design of Structures

Chaotic Meta-heuristic Algorithms for Optimal Design of Structures

Chaotic Meta-heuristic Algorithms for Optimal Design of Structures

Chaotic Meta-heuristic Algorithms for Optimal Design of Structures

Hardcover(1st ed. 2024)

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Overview

In this book, various chaos maps are embedded in eleven efficient and well-known metaheuristics and a significant improvement in the optimization results is achieved. The two basic steps of metaheuristic algorithms consist of exploration and exploitation. The imbalance between these stages causes serious problems for metaheuristic algorithms, which are immature convergence and stopping in local optima. Chaos maps with chaotic jumps can save algorithms from being trapped in local optima and lead to convergence toward global optima. Embedding these maps in the exploration phase, exploitation phase, or both simultaneously corresponds to three efficient and useful scenarios. By creating competition between different modes and increasing diversity in the search space and creating sudden jumps in the search phase, improvements are achieved for chaotic algorithms. Four Chaotic Algorithms, including Chaotic Cyclical Parthenogenesis Algorithm, Chaotic Water Evaporation Optimization, Chaotic Tug-of-War Optimization, and Chaotic Thermal Exchange Optimization are developed.


Product Details

ISBN-13: 9783031489174
Publisher: Springer Nature Switzerland
Publication date: 01/30/2024
Series: Studies in Computational Intelligence , #1129
Edition description: 1st ed. 2024
Pages: 342
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Chaotic Maps and Meta-Heuristic Algorithms.- Chaotic Cyclical Parthenogenesis Algorithm.- Chaotic Teaching Learning-Based Optimization.- Chaotic Biogeography Based Optimization.- Chaotic Differential Evolution.- Chaotic Water Evaporation Optimization.- Chaotic Artificial Bees Colony.- Chaotic Imperialist Competitive Algorithm.

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