The evolution of organisms takes place both in the genotype and the phenotype.At the phenotype level

the evolution is based on the laws of natural selection

while at the genotype level

it is a stochastic process of self-updating and self-optimization

and has a tendency of self-organizing to some degree.Based on this viewpoint of evolution

this paper proposes a new evolutionary algorithm and applies it to implement optimization.The algorithm considers not only natural selection of the phenotype

but also the evolution of genotype and the mappings between them.It has been demonstrated by simulation results that the algorithm is much better than other evolutionary algorithms based on typical frames in the aspects of convergence speed

robustness and global optimization ability.