Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization [E-Book] / by Ali Kaveh, Kiarash Biabani Hamedani.
The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the sear...
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Full text |
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Personal Name(s): | Kaveh, Ali, author |
Biabani Hamedani, Kiarash, author | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
X, 362 pages 160 illustrations, 159 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031134296 |
DOI: |
10.1007/978-3-031-13429-6 |
Series Title: |
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Studies in Computational Intelligence ;
1059 |
Subject (LOC): |
- Introduction
- Set-Theoretical Shuffled Shepherd Optimization Algorithm for Optimal Design of Reinforced Concrete Cantilever Retaining Wall Structures
- Set-Theoretical Variants of the Teaching-Learning-Based Optimization Algorithm for Structural Optimization with Frequency Constraints
- Enhanced Versions of the Shuffled Shepherd Optimization Algorithm for Structural Optimization
- Set-Theoretical Metaheuristic Algorithms for Reliability-Based Design Optimization of Truss Structures
- Optimal Analysis in the Service of Frequency-Constrained Structural Optimization with Set-Theoretical Jaya Algorithm
- Discrete Structural Optimization with Set-Theoretical Jaya Algorithm
- Enhanced Forensic-Based Investigation Algorithm
- Improved Slime Mould Algorithm
- Improved Arithmetic Optimization Algorithm.