Real-Parameter Optimization with Modified Differential Evolution
Xiaoqing Chen, Zhongxi Hou, Jianxia Liu · 2008
In this paper, a modified Differential-Evolution approach to solve numerical optimization problems is presented. The aim of the approach is to increase the probability of each parent to generate a better offspring. This is done by introducing time variant scaling factor F, and using a simple but efficient mutation operator which combines information of the both better and worse solution in the population and also information of the current parent to find new search directions. The performance of the MDE is reported on the set of 25 10-D benchmark functions provided by CEC2005 special session on real parameter optimization.