Application of improved gene expression programming for evolutionary modeling
TU Yan-qion · Journal of Jiangxi University of Science and Technology · 2013
Improved gene expression programming based on crowding niche is proposed to overcome the shortcoming of the traditional gene expression programming, which is easy to premature convergence, is difficult to maintain the diversity of the population, and has low evolution efficiency and fitting accuracy. The algorithm crowd out premature individuals within niche radius through the penalty function, so that other superior individuals evolve with high probability, and each individual keep a certain distance. Through evolution modeling experiment of unary function and complex multivariate function results show that the improved algorithm can preserve population diversity, effectively avoids premature convergence, has higher success rate, faster convergence speed and higher fitting precision.