Truss Optimization with MATLAB Genetic Algorithm (GA) Function
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover [Reference: Wikipedia].
This code implements the MATLAB Genetic Algorithm (GA) function for optimization of the benchmark 10-bar truss problem with continuous design variables. More details about this problem and a comparison between results of different optimization methods are available in the following papers:
1-Multi-class teaching–learning-based optimization for truss design with frequency constraints
2-Design of space trusses using modified teaching learning based optimization
HelpGA.mp4 explains how to use the code.
引用
Mohammad Farshchin (2024). Truss Optimization with MATLAB Genetic Algorithm (GA) Function (https://www.mathworks.com/matlabcentral/fileexchange/51250-truss-optimization-with-matlab-genetic-algorithm-ga-function), MATLAB Central File Exchange. 取得済み .
MATLAB リリースの互換性
プラットフォームの互換性
Windows macOS Linuxカテゴリ
- Mathematics and Optimization > Global Optimization Toolbox > Genetic Algorithm >
- Engineering > Civil and Environmental Engineering > Structural Analysis >
タグ
謝辞
ヒントを得たファイル: Truss Analysis
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!TrussGA/
バージョン | 公開済み | リリース ノート | |
---|---|---|---|
1.0.0.0 | Description updated
Image added. |