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Truss Optimization with MATLAB Genetic Algorithm (GA) Function

version 1.0.0.0 (498 KB) by Mohammad Farshchin
This code implements MATLAB GA for truss optimization

15 Downloads

Updated 29 Dec 2015

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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.

Comments and Ratings (7)

nanhai zhu

John Snow

Thank you ,that‘s good help me.

m derdiman

Nima Nazemi

Paridhi Rai

Updates

1.0.0.0

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1.0.0.0

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1.0.0.0

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MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Truss Analysis