Outbreeding Strategy with Dynamic Fitness in Gene Expression Programming
Wu Jun Jiang · Journal of Sichuan University · 2007
Traditional Gene Expression Programming(GEP) uses static fitness function.It decreases evolution speed and quality.To solve the problem,outbreeding strategy and dynamic fitness function strategy: outbreed and timely change standard of evaluating individuals were proposed to increase diversity and select excellent individuals;The experiments showed that the performance of traditional GEP is effectively improved by the combination of OBS and DFFS.The average fitness for the best individual is increased by 7%～14%,the maximal fitness is increased by over 7%,and the success rate is increased by over 30%.