The Strategy for Diversifying Initial Population of Gene Expression Programming
Hu Jian · Chinese Journal of Computers · 2007
Gene Expression Programming (GEP) is a new genetic algorithm for knowledge discovery. The diversification of initial population is very important to the evolution efficiency and result. In order to produce excellent initial population of GEP, Gene Space Balance Strategy (GSBS) is proposed. The theorem of describing the space of GEP encoding is proved. The simulation experiments show that GSBS can increase the evolutionary efficiency by 20%. The idea of GSBS algorithms can be used in other evolutionary computation else.