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I have P number of vectors of n dimensions each, where n is real valued. I want to find the best vector out of P using the fitness function Z(P). I am not being able to think of the modelling of the mutation and crossover methods, which would result in valid offsprings (within P). How should I perform the crossover and mutation in this scenario ?

gag123
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  • You should be able to find plenty of refernences on how to cross/mutate a vector for a GA. If you can figure it out in the 1-dim case, you can certainly do in for arbitrary dimensions. Give it a go. – AirSquid Feb 07 '22 at 19:31
  • Dimension is not the problem. Thing is after crossover or mutation, I have to produce offspring that is present in the search space. My search space is discrete. – gag123 Feb 08 '22 at 06:48

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