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.
Zitieren als
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. Abgerufen.
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- Mathematics and Optimization > Optimization Toolbox > Linear Programming and Mixed-Integer Linear Programming >
- Mathematics and Optimization > Global Optimization Toolbox > Genetic Algorithm >
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