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Genetic algorithm : Best score is not equal to fitness

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Boris Huljak
Boris Huljak 2018 年 6 月 4 日
コメント済み: Geoff Hayes 2018 年 6 月 4 日
Hello,
I am currently using a genetical algorithm, and using a output fuction, I display the best state.Score value at each iterations.
Once I stop the algorithm, I get my element (its genome) with my best score. The thing is, if I use my fitnessfunction on that element, outside the genetic algorithm framework (so, using something like FitnessFunction(element)) . I get a value that is slightly different from the state.Score, even though this element is the best one.
I would like to know if anyone knows how can that difference be, is it matlab defining the score using another definition than the fitness ?
Thank you
  2 件のコメント
Walter Roberson
Walter Roberson 2018 年 6 月 4 日
Check to see if there is a small constraint violation at that position. Constraint violations introduce a penalty on the score.
Geoff Hayes
Geoff Hayes 2018 年 6 月 4 日
Boris - also, what does slightly different mean?

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