Advanced metaheuristic algorithms and their applications in structural optimization / 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...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2022.
|
| Series: | Studies in computational intelligence ;
v. 1059. |
| Subjects: |
Table of Contents:
- 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.