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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 (2026). Optimal Component Selection Using the Mixed-Integer Genetic Algorithm (https://fr.mathworks.com/matlabcentral/fileexchange/35810-optimal-component-selection-using-the-mixed-integer-genetic-algorithm), MATLAB Central File Exchange. Extrait(e) le .
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En savoir plus sur Linear Programming and Mixed-Integer Linear Programming dans Help Center et MATLAB Answers
Informations générales
- Version 1.0.0.1 (148 ko)
Compatibilité avec les versions de MATLAB
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- Windows
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| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.1 | Updated license |
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| 1.0.0.0 | Updated ThOptimPlot for new graphics |
