How does GA create crossover/mutation with constraints ?
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Hello. I am currently doing an optimization where polynomial (4 parameters) have to fulfil a constraint of the type (max(poly)-Value) < 0.
To do so, I use the genetic algorithm from matlab.
I have a question though, how is it possible that the ga command uses crossover/mutation functions, but still fulfil that condition ? What will the code exactly do if this condition is not fulfilled ? Skip the fitness evaluation ?
Thank you for your help
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Answers (2)
Alan Weiss
on 23 May 2018
The nonlinear constraint algorithms are described here. In brief, the algorithm allows nonlinear constraints to be violated, and in subsequent iterations attempts to obtain feasible points.
Alan Weiss
MATLAB mathematical toolbox documentation
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