For a custom vectorised fitness function like this,
FitnessFunction = @(x) my_fitness(x,a,b);
I need to modify the values of x (i.e 'This population')based on some parameters computed in the fitness function. I have tried including the code for this in the fitness function but I guess this is not the right way. In the subsequent steps, while generating the next generation, ga is using the same x values as before and not the modified ones. Can these values be modified within the fitness function?
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