Variable Influence Space Based Uniformity Metric Method for Solution Sets of Multi-objective Evolutionary Algorithms
ZHENG Jin-Hua, HUANG Duan, WANG Kang, ZHANG Zuo-Feng
1.College of Information Engineering, Xiangtan University, Xiangtan 411105 2.Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, Xiangtan University, Xiangtan 411105
Abstract Uniformity Evaluation of solutions is one of the most important issues of performance assessment. The views of facing individuals and facing space are combined to construct a variable influence space of solutions. A variable influence space based uniformity metric method for solution sets of multi-objective evolutionary algorithms is proposed in this paper. The metric can be used to compare the performance of different multi-objective optimization techniques by evaluating the relative degree of uniformity of a solution set in the influence space. Experimental results show the feasibility and effectiveness of the proposed metric.
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2014, Vol. 27 
