Optimal Component Selection Using the Mixed-Integer Genetic Algorithm
Designs often require that components come from a list of available sizes. In this example, we show how the Genetic Algorithm can be used to find values for the Resistors and Thermistors in a circuit that meet our design criteria. The example uses optimization techniques to minimize the difference between a desired response curve and the curve generated from a simulation of the circuit. Because Resistors and Thermistors are only available in standard sizes, this becomes an interger-constrained problem as our design variables are limited to these standard sizes.
Citation pour cette source
Seth DeLand (2024). Optimal Component Selection Using the Mixed-Integer Genetic Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/35810-optimal-component-selection-using-the-mixed-integer-genetic-algorithm), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Mathematics and Optimization > Optimization Toolbox > Linear Programming and Mixed-Integer Linear Programming >
- Mathematics and Optimization > Global Optimization Toolbox > Genetic Algorithm >
- Sciences > Agriculture >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Thermistor_MixedIntegerGA/
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0.1 | Updated license |
||
1.0.0.0 | Updated ThOptimPlot for new graphics |