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I use NSGA-II to solve multi-objective feed formulation with simulated binary crossover and polynomial mutation as parameters and cardinal priority ranking get best solution from non-dominated...
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what I understand about NSGA-II procedure from Deb's paper are: Generate initial population -> Fast non-domination sorting -> Binary tournament selection -> Recombination -> Mutation...
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