Question about the best fitness function value in genetic algorithm
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I am using the genetic algorithm from Global Optimization Toolbox to sovle a non-smooth optimization problem. The level of display is set to be 'iter', and I also add "@gaplotbestf" in the plot options.
However, the best fitness function value shown in the display is different from the one shown in the @gaplotbestf plot.
For example, the best fitness function value shown in the display is -0.00739942, and the best fitness function value shown in @gaplotbestf plot is -20.3323.
I have no clue why this happens and which number I should trust. Thanks!
2 件のコメント
Walter Roberson
2017 年 3 月 26 日
I wonder if gaplotbestf takes into account locations that turn out to be rejected due to constraints?
Alan Weiss
2017 年 3 月 26 日
Do you have nonlinear constraints? Please show us your call to ga, including all options.
Alan Weiss
MATLAB mathematical toolbox documentation
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