Truss Optimization with MATLAB Genetic Algorithm (GA) Function

This code implements MATLAB GA for truss optimization
3,2K download
Aggiornato 29 dic 2015

Visualizza la licenza

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.

Cita come

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. Recuperato .

Compatibilità della release di MATLAB
Creato con R2014a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Riconoscimenti

Ispirato da: Truss Analysis

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.0.0.0

Description updated
Description

Image added.