A New Differential Evolution Algorithm for Complex Constrained Optimization Problems
This paper presents a new differential evolution (DE) to address complex multi-modal function optimization problems. DE is a novel evolutionary approach capable of handling non-differentiable, nonlinear and multi-modal objective functions. Previous studies have shown that DE is an ef.cient, effective and robust evolutionary algorithm, but sometimes it is inef.cient to solve complicated multi-modal problems. In order to improve its search ef.ciency, a local search procedure is designed and an improved DE (IDE) based on uniform design is proposed. Its performance is tested using some well known benchmark problems. Numerical results show the usefulness of our method.
XU Junqin ZHANG Jihui
College of Mathematics, Qingdao University, Qingdao 266071, P.R.China Institute of Complexity Science, Qingdao University, Qingdao 266071, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）