A novel constraint-handling method based on evolutionary algorithm

摘要：

A new method is proposed to deal with constrained optimization problem to overcome certain disadvantages of the current methods.The proposed algorithm adopts a new constraint-handling method to deal with constraints and does not introduce penalty parameters. In the evolutionary process,our algorithm searches the solution space of the problem through a mixture crossover of feasible and infeasible solutions,and performs a selection operation on feasible and infeasible populations respectively. In addition,the boundary mutation and non-uniform mutation operators are used to enrich the exploration and exploitation abilities of the proposed approach.It uses a diversity conservation mechanism to allow infeasible solution to remain in the population.Numerical results show that the proposed method is effective.

关键词： evolutionary algorithm constraint-handling feasible solution boundary mutation non-uniform mutation

作者: Ximing Liang Wen Long Haoyu Qin Shanchun Li

作者单位: School of Information Science and Engineering Central South University Changsha,410083,P. R. China School of Information Science and Engineering Central South University Changsha,410083, P. R. China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 130-133

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）