1. A computer system implementing a genetic algorithm computing architecture for processing population data to determine an optimal solution determined according to a predefined population fitness model, said computer system comprising: a) a source database storing a source population data set; and b) a processor coupled to said source database to read population data set data, wherein said processor implements a two-stage completion genetic algorithm with respect to a current population data set, said two-stage completion genetic algorithm including: I) a genotype completion loop, including a phenogenesis operator, wherein genotypes of said current population data set are competed based on genotype field fitness scores, said genotype completion loop providing for a cyclic revision of said current population data set; and ii) a phenotype completion loop, including a genotype reduction operator, wherein a current phenotype set is generated by said phenogenesis operator relative to said current population data set, wherein a fitness operator evaluates a predetermined fitness function against each phenotype of said current phenotype set to produce phenotype fitness scores, and wherein said genotype reduction operator determines genotype fitness scores from phenotype fitness scores.