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, wherein said genotype reduction operator determines genotype fitness scores from phenotype fitness scores, and wherein said processor includes a reporting subsystem coupled to receive and output said current phenotype set as a solution set.