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.
