Optimal Component Selection Using the Mixed-Integer Genetic Algorithm

Use the mixed-integer genetic algorithm to solve an engineering design problem.
Updated 1 Sep 2016

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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.

Cite As

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. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
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Version Published Release Notes

Updated license

Updated ThOptimPlot for new graphics