Genetic Algorithm for feature selection
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I am working on genetic algorithm for feature selection in Brain MRI Images. I have done the coding part but not getting the correct results. I have used 20 chromosomes of length 10 (features = 10), tournament selection for parent selection, then crossover and mutation to create a new generation.
This process is repeated 50 times. But the results are not correct. I am not getting what is the problem, whether the features I am taking are not correct or there is some mistake in my understanding of genetic algorithm.
https://drive.google.com/folderview?id=0Bys_Tre7ZR9ufmRSR0RjRjRrc0IyNF92Rm83dURleUpaeXhTLWs0R2cwVUk4clRfTjY4djQ&usp=sharing
This the link of my shared folder named project in which my whole code is there. The main code is named "newgenetic" and the rest are functions. Please help me...
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Geoff Hayes
on 31 Mar 2015
Purti - what do the fitness values mean? From your code, it appears that you have coded up your own version of the Genetic Algorithm. Have you verified that your algorithm works for other problems?
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