Best penalty lower than best individual in genetic algorithm
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Hi,
I am doing an optimization with the generic algorithm, using some integer parameters. The best penalty I get for many generations is lower (~ -5 million) than the fitness function of the best individual (~ -4 million).
Can you help me interpret this? I thought that the penalty value was the fitness function for feasible individuals and the fitness function of the population plus some penalty for non feasible individuals, so my understanding was that the fitness function of the best individual would be lower than any best penalty of the entire optimization.
Thanks
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Alan Weiss
2016-3-21
I believe that your interpretation of the meaning of the penalty function is correct, so I, too, am puzzled by what you report.
If you can reproduce your problem, I suggest that you contact technical support, and possibly file a bug report.
Alan Weiss
MATLAB mathematical toolbox documentation
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hanane ensam
2016-8-26
Hello, please, could you give me the interpretation of the graph (penalty value in function of generation) and the exact definition of penalty value
Alan Weiss
2016-8-29
Alan Weiss
MATLAB mathematical toolbox documentation
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