{"date_updated":"2023-10-16T13:47:23Z","page":"465–472","series_title":"GECCO ’12","language":[{"iso":"eng"}],"place":"New York, NY, USA","publication":"Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation","abstract":[{"text":"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 on the optimal distribution of μ solutions is analyzed. Based on a comparative analysis, specific characteristics and differences of the R2 and HV indicator are presented.","lang":"eng"}],"title":"On the Properties of the R2 Indicator","author":[{"first_name":"Dimo","last_name":"Brockhoff","full_name":"Brockhoff, Dimo"},{"first_name":"Tobias","last_name":"Wagner","full_name":"Wagner, Tobias"},{"id":"100740","first_name":"Heike","full_name":"Trautmann, Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282"}],"year":"2012","publication_identifier":{"isbn":["9781450311779"]},"user_id":"15504","_id":"46397","status":"public","date_created":"2023-08-04T15:52:42Z","doi":"10.1145/2330163.2330230","department":[{"_id":"34"},{"_id":"819"}],"citation":{"ama":"Brockhoff D, Wagner T, Trautmann H. On the Properties of the R2 Indicator. In: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation. GECCO ’12. Association for Computing Machinery; 2012:465–472. doi:10.1145/2330163.2330230","ieee":"D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the R2 Indicator,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 465–472, doi: 10.1145/2330163.2330230.","bibtex":"@inproceedings{Brockhoff_Wagner_Trautmann_2012, place={New York, NY, USA}, series={GECCO ’12}, title={On the Properties of the R2 Indicator}, DOI={10.1145/2330163.2330230}, booktitle={Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation}, publisher={Association for Computing Machinery}, author={Brockhoff, Dimo and Wagner, Tobias and Trautmann, Heike}, year={2012}, pages={465–472}, collection={GECCO ’12} }","short":"D. Brockhoff, T. Wagner, H. Trautmann, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 465–472.","apa":"Brockhoff, D., Wagner, T., & Trautmann, H. (2012). On the Properties of the R2 Indicator. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 465–472. https://doi.org/10.1145/2330163.2330230","chicago":"Brockhoff, Dimo, Tobias Wagner, and Heike Trautmann. “On the Properties of the R2 Indicator.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 465–472. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330230.","mla":"Brockhoff, Dimo, et al. “On the Properties of the R2 Indicator.” Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, 2012, pp. 465–472, doi:10.1145/2330163.2330230."},"publisher":"Association for Computing Machinery","type":"conference","keyword":["hypervolume indicator","multiobjective optimization","performance assessment","r2 indicator"]}