New developments on the interplanetary trajectory optimization problem using hidden genes genetic algorithms are presented in this paper. The hidden genes genetic algorithm assumes some genes to change state between hidden and active, in the objective function evaluations, during the optimization process. This paper presents methods to assign the gene to be hidden in each generation. Binary tags are attached to the genes. The values of these tags evolve over successive generations based on the concept of allelomorph genes in biology. Application to the interplanetary trajectory optimization problem is presented.
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