Predicting Pareto Dominance in Multi-objective Optimization Using Pattern Recognition

摘要：

A method of predicting Pareto dominance in multiobjective optimization using pattern recognition, and the framework of Pareto dominance classifier are proposed. A kind of Bayesian classifier is preliminarily implemented. It is used to predict Pareto dominance among the candidate solutions for various typical multi-objective optimization problems. The experimental data and analysis show that the predicted results can be used to recognize the non-dominated candidate solutions. Thus the prediction method of Pareto dominance can serve as an efficient approach for overcoming the curse of computation cost in solving complicated multiobjective optimization problems.

关键词： Multi-objective Optimization Pareto Dominance Pattern Recognition Bayesian Classifier

作者: Guo Guanqi Li Wu Yang Bo Li Wenbin Yin Cheng

作者单位: Hunan Institute of Science & Technology, Yueyang, Hunan, 414006, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 456-459

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）