Genetic Algorithm and objective function value
显示 更早的评论
Hello everyone,
I was doing an optimization using GA (Genetic Algorithm). After nearly one hour and half, i obtained the optimized parameters and the minimum value of the objective function.
To be sure from the solution, i put the optimized parameter in the same model and here is the surprise ! I obtained another value of the objective function !!!
Has anyone encountered this problem and knew why ?
As shows the figure below the value of the objective function is 0.114106.
However, when i put the same parameters in the main code, i obtained 0.1253 as shows the figure below.
What do you think ?
采纳的回答
Star Strider
2022-11-2
0 个投票
If the objective funciton is the same as the fitness function (and I have no idea what you are doing), the result should be the same, and equal to the best fitness value. If they are different (for example in a curve-fitting problem where the norm of the difference between the data and the objective function is to be minimised), the objective function value would be expected to be different from the fitness function value.
2 个评论
nado
2022-11-2
Star Strider
2022-11-2
As always, my pleasure!
I have ga display all the results at the end, including the final fitness value. I am not certain what you have it display, however that might help uncover whatever the discrepancy may be. Also, if you are using a hybrid function to ‘fine-tune’ the parameters at the end, that could explain the difference.
.
更多回答（0 个）
类别
在 帮助中心 和 File 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 
