New Multi-objective Genetic Algorithm for Nonlinear Constrained Optimization Problems

摘要：

A new approach is presented to solve the nonlinear constrained optimization problem.It neither uses any penalty function nor distinguishes the feasible solutions and the infea- sible solutions.Firstly,the constrained optimization problem is transformed into a bi-objective optimization problem.One objective is the objective function of the original nonlinear constrained optimization problem,and the other is the scalar constraints violation.Based on the dominating relation of the Pareto,a new choosing strategy is ?rst designed,and then by combining the choosing strategy with the reasonable design of the genetic operation and different parameters,a new genetic algorithm is ?nally proposed.The numerical experiment shows that the algorithm is effective in dealing with the nonlinear constraint optimization problem.

关键词： Nonlinear constrained optimization Multi-objective optimization Genetic algorithm

作者: Chun-an Liu

作者单位: Department of Mathematics Baoji University of Arts and Sciences Baoji,Shaanxi 721013,China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）