Best penalty lower than best individual in genetic algorithm

2 次查看(过去 30 天)
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

采纳的回答

Alan Weiss
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
  4 个评论
hanane ensam
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

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Genetic Algorithm 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by