On the Properties of the R2 Indicator

被引:157
作者
Brockhoff, Dimo [1 ]
Wagner, Tobias [1 ]
Trautmann, Heike [1 ]
机构
[1] INRIA Lille Nord Europe, Dolphin Team, Villeneuve Dascq, France
来源
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 2012年
关键词
Performance assessment; Hypervolume indicator; R2; indicator; Multiobjective optimization;
D O I
10.1145/2330163.2330230
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In multiobjective optimization, set-based performance indicators are commonly used to assess the quality of a Pareto front, approximation. Based on the scalarization obtained by these indicators, a performance comparison of multiobjective optimization algorithms becomes possible. The R2 and the Hypervolume (HV) indicator represent two recommended approaches which have shown a correlated behavior in recent empirical studies. Whereas the HV indicator has been comprehensively analyzed in the last years, almost no studies on the R2 indicator exist. In this paper, We thus perform a comprehensive investigation of the properties of the R2 indicator in a theoretical and empirical way. The influence of the number and distribution of the weight vectors OH the optimal distribution of mu soltitious is analyzed. Based on a comparative analysis, specific characteristics and differences of the R2 and HV indicator are presented.
引用
收藏
页码:465 / 472
页数:8
相关论文
共 15 条
[11]   Performance assessment of multiobjective optimizers: An analysis and review [J].
Zitzler, E ;
Thiele, L ;
Laumanns, M ;
Fonseca, CM ;
da Fonseca, VG .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2003, 7 (02) :117-132
[12]  
Zitzler E, 1998, LECT NOTES COMPUT SC, V1498, P292, DOI 10.1007/BFb0056872
[13]  
Zitzler E, 2008, LECT NOTES COMPUT SC, V5252, P373, DOI 10.1007/978-3-540-88908-3_14
[14]   Comparison of Multiobjective Evolutionary Algorithms: Empirical Results [J].
Zitzler, Eckart ;
Deb, Kalyanmoy ;
Thiele, Lothar .
EVOLUTIONARY COMPUTATION, 2000, 8 (02) :173-195
[15]  
Zitzler Eckart, 1999, EVOLUTIONARY ALGORIT