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Optimal Component Selection Using the Mixed-Integer Genetic Algorithm

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Optimal Component Selection Using the Mixed-Integer Genetic Algorithm

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Seth DeLand (view profile)

 

Use the mixed-integer genetic algorithm to solve an engineering design problem.

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Description

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.

Required Products Global Optimization Toolbox
Optimization Toolbox
MATLAB
MATLAB release MATLAB 7.13 (R2011b)
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Comments and Ratings (4)
01 Dec 2014 karra

karra (view profile)

can this be implemented with global optimization tool box ?

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01 Dec 2014 karra

karra (view profile)

how can i implement it to an 4th order butterworth filter please help me

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25 Mar 2013 Leonardo Zambrano  
07 Nov 2012 anh tq

anh tq (view profile)

 

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