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Genetic Algorithm fitness value chart

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S AsZ
S AsZ 2019 年 10 月 26 日
Commented: Alan Weiss 2019 年 12 月 2 日
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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Alan Weiss
Alan Weiss 2019 年 10 月 29 日
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 2019 年 11 月 28 日
Thank you so much 🙏
S AsZ
S AsZ 2019 年 11 月 28 日
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 2019 年 12 月 2 日
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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