using genetic algorithm optimizer to figure out points that satisfy the imposed constraints

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Mustafa Al-tekreeti 2017-4-11

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https://ww2.mathworks.cn/matlabcentral/answers/334875-using-genetic-algorithm-optimizer-to-figure-out-points-that-satisfy-the-imposed-constraints

评论： Mustafa Al-tekreeti 2017-4-19

I want to find points that satisfy a set of constraints only using GA. It is not necessary to be optimal points. Some of the constraints depend on simulation evaluations. I did it by providing a constant fitness function(e.g., f(x) = 1), but it gave me the following error: Failure in user-supplied fitness function evaluation. Cannot continue. Failure in initial user-supplied fitness function evaluation. GA cannot continue. any idea?

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Answer 1

Renee Coetsee 2017-4-14

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https://ww2.mathworks.cn/matlabcentral/answers/334875-using-genetic-algorithm-optimizer-to-figure-out-points-that-satisfy-the-imposed-constraints#answer_263059

There are couple reasons that you could be getting this error.

- This error occurs when the objective function produces a NaN output. To fix this, edit the function so that it does not produces NaN values, or set constraints on the function's inputs to prevent the objective function from producing NaN outputs.

- If you have nonlinear constraints, make sure that you are following this note in the documentation page for "ga":

"Note: Passing Extra Parameters (Optimization Toolbox) explains how to pass extra parameters to the objective function and nonlinear constraint functions, if necessary."