[{"language":[{"iso":"eng"}],"series_title":"GECCO ’18","doi":"10.1145/3205651.3208312","year":"2018","title":"Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr","author":[{"id":"102979","full_name":"Bossek, Jakob","last_name":"Bossek","first_name":"Jakob","orcid":"0000-0002-4121-4668"}],"publication_identifier":{"isbn":["978-1-4503-5764-7"]},"publication_status":"published","date_updated":"2023-12-13T10:46:04Z","date_created":"2023-11-14T15:58:56Z","type":"conference","keyword":["evolutionary optimization","performance assessment","software-tools"],"department":[{"_id":"819"}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","extern":"1","abstract":[{"lang":"eng","text":"Assessing the performance of stochastic optimization algorithms in the field of multi-objective optimization is of utmost importance. Besides the visual comparison of the obtained approximation sets, more sophisticated methods have been proposed in the last decade, e. g., a variety of quantitative performance indicators or statistical tests. In this paper, we present tools implemented in the R package ecr, which assist in performing comprehensive and sound comparison and evaluation of multi-objective evolutionary algorithms following recommendations from the literature."}],"page":"1350–1356","publisher":"Association for Computing Machinery","_id":"48867","user_id":"102979","status":"public","place":"New York, NY, USA","citation":{"apa":"Bossek, J. (2018). Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>","ieee":"J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2018, pp. 1350–1356, doi: <a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","short":"J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.","chicago":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>.","mla":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2018, pp. 1350–1356, doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","ama":"Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO ’18. Association for Computing Machinery; 2018:1350–1356. doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>","bibtex":"@inproceedings{Bossek_2018, place={New York, NY, USA}, series={GECCO ’18}, title={Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr}, DOI={<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob}, year={2018}, pages={1350–1356}, collection={GECCO ’18} }"}},{"status":"public","volume":26,"user_id":"37741","_id":"5705","publisher":"Springer","page":"127-139","citation":{"mla":"Breugelmans, Els, et al. “Advancing Research on Loyalty Programs: A Future Research Agenda.” <i>Marketing Letters</i>, vol. 26, no. 2, Springer, 2015, pp. 127–39.","bibtex":"@article{Breugelmans_Bijmolt_Zhang_Basso_Dorotic_Kopalle_Minnema_Mijnlieff_Wünderlich_2015, title={Advancing Research on Loyalty Programs: A Future Research Agenda.}, volume={26}, number={2}, journal={Marketing Letters}, publisher={Springer}, author={Breugelmans, Els and Bijmolt, Tammo H A and Zhang, Jie and Basso, Leonardo J and Dorotic, Matilda and Kopalle, Praveen and Minnema, Alec and Mijnlieff, Willem Jan and Wünderlich, Nancy}, year={2015}, pages={127–139} }","ama":"Breugelmans E, Bijmolt THA, Zhang J, et al. Advancing Research on Loyalty Programs: A Future Research Agenda. <i>Marketing Letters</i>. 2015;26(2):127-139.","ieee":"E. Breugelmans <i>et al.</i>, “Advancing Research on Loyalty Programs: A Future Research Agenda.,” <i>Marketing Letters</i>, vol. 26, no. 2, pp. 127–139, 2015.","apa":"Breugelmans, E., Bijmolt, T. H. A., Zhang, J., Basso, L. J., Dorotic, M., Kopalle, P., … Wünderlich, N. (2015). Advancing Research on Loyalty Programs: A Future Research Agenda. <i>Marketing Letters</i>, <i>26</i>(2), 127–139.","chicago":"Breugelmans, Els, Tammo H A Bijmolt, Jie Zhang, Leonardo J Basso, Matilda Dorotic, Praveen Kopalle, Alec Minnema, Willem Jan Mijnlieff, and Nancy Wünderlich. “Advancing Research on Loyalty Programs: A Future Research Agenda.” <i>Marketing Letters</i> 26, no. 2 (2015): 127–39.","short":"E. Breugelmans, T.H.A. Bijmolt, J. Zhang, L.J. Basso, M. Dorotic, P. Kopalle, A. Minnema, W.J. Mijnlieff, N. Wünderlich, Marketing Letters 26 (2015) 127–139."},"intvolume":"        26","article_type":"original","date_updated":"2022-01-06T07:02:36Z","publication_status":"published","author":[{"last_name":"Breugelmans","first_name":"Els","full_name":"Breugelmans, Els"},{"first_name":"Tammo H A","last_name":"Bijmolt","full_name":"Bijmolt, Tammo H A"},{"full_name":"Zhang, Jie","first_name":"Jie","last_name":"Zhang"},{"full_name":"Basso, Leonardo J","first_name":"Leonardo J","last_name":"Basso"},{"full_name":"Dorotic, Matilda","first_name":"Matilda","last_name":"Dorotic"},{"last_name":"Kopalle","first_name":"Praveen","full_name":"Kopalle, Praveen"},{"first_name":"Alec","last_name":"Minnema","full_name":"Minnema, Alec"},{"first_name":"Willem Jan","last_name":"Mijnlieff","full_name":"Mijnlieff, Willem Jan"},{"id":"36392","first_name":"Nancy","last_name":"Wünderlich","full_name":"Wünderlich, Nancy"}],"title":"Advancing Research on Loyalty Programs: A Future Research Agenda.","year":"2015","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Despite the growing literature on loyalty program (LP) research, many questions remain underexplored. Driven by advancements in information technology, marketing analytics, and consumer interface platforms (e.g., mobile devices), there have been many recent developments in LP practices around the world. They impose new challenges and create exciting opportunities for future LP research. The main objective of this paper is to identify missing links in the literature and to craft a future research agenda to advance LP research and practice. Our discussion focuses on three key areas: (1) LP designs, (2) Assessment of LP performance, and (3) Emerging trends and the impact of new technologies. We highlight several gaps in the literature and outline research opportunities in each area."}],"publication":"Marketing Letters","issue":"2","department":[{"_id":"181"}],"type":"journal_article","keyword":["Loyalty programs","Loyalty program design","Loyalty program performance assessment","Emerging trends","Partnership loyalty programs","Customer relationship management"],"date_created":"2018-11-15T11:46:22Z"},{"place":"New York, NY, USA","citation":{"bibtex":"@inproceedings{Brockhoff_Wagner_Trautmann_2012, place={New York, NY, USA}, series={GECCO ’12}, title={On the Properties of the R2 Indicator}, DOI={<a href=\"https://doi.org/10.1145/2330163.2330230\">10.1145/2330163.2330230</a>}, 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} }","ama":"Brockhoff D, Wagner T, Trautmann H. On the Properties of the R2 Indicator. In: <i>Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation</i>. GECCO ’12. Association for Computing Machinery; 2012:465–472. doi:<a href=\"https://doi.org/10.1145/2330163.2330230\">10.1145/2330163.2330230</a>","mla":"Brockhoff, Dimo, et al. “On the Properties of the R2 Indicator.” <i>Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation</i>, Association for Computing Machinery, 2012, pp. 465–472, doi:<a href=\"https://doi.org/10.1145/2330163.2330230\">10.1145/2330163.2330230</a>.","chicago":"Brockhoff, Dimo, Tobias Wagner, and Heike Trautmann. “On the Properties of the R2 Indicator.” In <i>Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation</i>, 465–472. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. <a href=\"https://doi.org/10.1145/2330163.2330230\">https://doi.org/10.1145/2330163.2330230</a>.","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.","ieee":"D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the R2 Indicator,” in <i>Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation</i>, 2012, pp. 465–472, doi: <a href=\"https://doi.org/10.1145/2330163.2330230\">10.1145/2330163.2330230</a>.","apa":"Brockhoff, D., Wagner, T., &#38; Trautmann, H. (2012). On the Properties of the R2 Indicator. <i>Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation</i>, 465–472. <a href=\"https://doi.org/10.1145/2330163.2330230\">https://doi.org/10.1145/2330163.2330230</a>"},"page":"465–472","_id":"46397","publisher":"Association for Computing Machinery","user_id":"15504","status":"public","date_created":"2023-08-04T15:52:42Z","type":"conference","keyword":["hypervolume indicator","multiobjective optimization","performance assessment","r2 indicator"],"department":[{"_id":"34"},{"_id":"819"}],"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"}],"series_title":"GECCO ’12","language":[{"iso":"eng"}],"doi":"10.1145/2330163.2330230","title":"On the Properties of the R2 Indicator","year":"2012","publication_identifier":{"isbn":["9781450311779"]},"author":[{"full_name":"Brockhoff, Dimo","last_name":"Brockhoff","first_name":"Dimo"},{"last_name":"Wagner","first_name":"Tobias","full_name":"Wagner, Tobias"},{"id":"100740","orcid":"0000-0002-9788-8282","first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike"}],"date_updated":"2023-10-16T13:47:23Z"}]