In BAT ANN optimization, fmin becomes so less than fitness value that the condition of comparison of these two quantities is not used.
3 views (last 30 days)
Show older comments
I am optimizing BAT algorithm with Feed Forward Network. I am facing an issue that the fmin becomes very less than fitness values in the first go that the condition of
if fitness<=fmin
is neglected.
Those who use BAT algorithm know that there are fitness values, fitnessnew values and fmin.
My fmin values are becoming very small in the initial iterations that the above given condition becomes useless and is not implemented.
What should I do in this case, as this is not the issue with PSO, it keeps on decreasing MSE when I used the same fitness function that I am using in BAT.
0 Comments
Answers (0)
See Also
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!