An Improved Differential Evolution Algorithm for Solving Constrained Optimization Problems

摘要：

This article presents an improved differential evolution algorithm for solving constrained optimization problems. In the algorithm, the dynamically relaxing the constraint violation tolerance is given to balance the global search ability and the local search ability and to dynamically guide the individuals to tend to the feasible region. In addition, a new returning technique is used to ensure that the mutated individuals are all in the search space. It is shown by the numerical results that the proposed algorithm is effective and robust and has good global optimization ability.

关键词： global optimization constrained optimization differential evolution selection strategy constraint violation

作者: Yuelin Gao Junmei Liu

作者单位: Institute of Information & System Science North Ethnic University YinChuan China,750021 Department of Basic Mathematics, Yinchuan College University of Mining and Technology in China, Yinc

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 142-146

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）