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Genetic Algorithm fitness value chart

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S AsZ
S AsZ on 26 Oct 2019
Commented: Alan Weiss on 2 Dec 2019
Hi I am using genetic algorithm for a mixed integer linear programming. I used this command to show genetic algorithm "fitness value" chart:
x=ga(problem); problem.options.PlotFcns = @gaplotbestf;
But matlab gives me "penalty value" chart! Also I want to adjust generation value as 200 but I don't know how can I do that!
Can anyone help me?

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Accepted Answer

Alan Weiss
Alan Weiss on 29 Oct 2019
Your problem probably has integer constraints. Maybe nonlinear constraints, too. The solver behaves very differently with tose kinds of constraints. See Mixed Integer Optimization and Nonlinear Constraint Solver Algorithms.
For more help, please shw us your option settings and ga call, and tell us what you want to accomplish (setting a generation value to 200 is not what you want to accomplish; you might want to solve a problem to a certain accuracy, or in a certain time, but I find it hard to believe that setting a generation value of 200 is really the goal).
Alan Weiss
MATLAB mathematical toolbox documentation

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S AsZ
S AsZ on 28 Nov 2019
Thank you so much 🙏
S AsZ
S AsZ on 28 Nov 2019
Excuse me again I have an author question: How can I write multi objective functions with Optimproblem format? My mean is using problem based method not using solver based method.
Alan Weiss
Alan Weiss on 2 Dec 2019
I suggest that you open a new question for this. I do not quite understand what you are asking.
Alan Weiss
MATLAB mathematical toolbox documentation

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