Optimal Component Selection Using the Mixed-Integer Genetic Algorithm

Use the mixed-integer genetic algorithm to solve an engineering design problem.
5.7K Downloads
Updated 1 Sep 2016

View License

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 (2026). Optimal Component Selection Using the Mixed-Integer Genetic Algorithm (https://uk.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
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.0.1

Updated license

1.0.0.0

Updated ThOptimPlot for new graphics