Towards identifying populations that increase the likelihood of success in genetic programming
Jason M. Daida · 2005
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influencing problem difficulty are changed. The results corroborate both theoretical and empirical studies on factors that influence population dynamics. The results also indicate a clue for a possible empirical measurement that could be used in tuning initial populations for increasing the likelihood of success.