Termination criterion for Genetic Algorithm when used in context of feature selection??

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purti choudhary 2015-4-30

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https://ww2.mathworks.cn/matlabcentral/answers/214485-termination-criterion-for-genetic-algorithm-when-used-in-context-of-feature-selection

编辑： Prateekshya 2024-7-19，11:17

I have tried for 50 iterations but on running the Matlab code the best fitness value of all iterations is coming out to be different at different times. How will I decide which will be the best features in such a condition.

Getting different best feature set for same number of iterations. How results should be interpreted so that I can come to a Termination criterion??

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Answer 1

Prateekshya 2024-7-19，11:16

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编辑：Prateekshya 2024-7-19，11:17

Hello Purti,

I understand that you are getting different output in different runs of Genetic Algorithm. This is a common behavior due to the stoachastic nature of GA which gives you near-optimal (not exactly optimal) solutions. Here are some strategies to make the results more consistent:

Run GA multiple times and take the average of all the best fitness values.
Increase population size and number of generations which will explore a larger solution space and give a better result.
Change and experiment the type of crossovers and mutations you are using. Please follow this link to know more about it: https://www.mathworks.com/help/gads/genetic-algorithm-options.html
Use elitism to ensure that the best solutions are carried over to the next generation.

I hope this helps!

Thank you.