Study of genetic algorithms based on pleiotropy
Junhua Li · Systems engineering and electronics · 2007
In nature,pleiotropy is the effect that a single gene may simultaneously affect several phenotypic traits.Simulating pleiotropy of biology,a genetic algorithm based on pleiotropy is proposed.The nonlinear function between the genotype and phenotype or one-to-many mapping relationship is built,which breaks out one-to-one mapping in traditional genetic algorithm.Pleiotropy has an advantage to maintain the diversity of the problem space so,the run rate can be improved by using small population size.Compared with the traditional GA for the global optimization of Rosenbrock function,the results show the proposed algorithm is efficient.