{"publisher":"Springer","intvolume":" 8426","date_updated":"2023-10-16T13:43:59Z","citation":{"ieee":"G. Rudolph, C. Grimme, O. Schütze, and H. Trautmann, “An Aspiration Set EMOA Based on Averaged Hausdorff Distances,” in Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014, vol. 8426, pp. 153–156.","bibtex":"@inproceedings{Rudolph_Grimme_Schütze_Trautmann_2014, place={Gainesville, Florida, USA}, series={Lecture Notes in Computer Science}, title={An Aspiration Set EMOA Based on Averaged Hausdorff Distances}, volume={8426}, booktitle={Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)}, publisher={Springer}, author={Rudolph, Günter and Grimme, Christian and Schütze, Oliver and Trautmann, Heike}, year={2014}, pages={153–156}, collection={Lecture Notes in Computer Science} }","mla":"Rudolph, Günter, et al. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), vol. 8426, Springer, 2014, pp. 153–156.","chicago":"Rudolph, Günter, Christian Grimme, Oliver Schütze, and Heike Trautmann. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” In Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 8426:153–156. Lecture Notes in Computer Science. Gainesville, Florida, USA: Springer, 2014.","ama":"Rudolph G, Grimme C, Schütze O, Trautmann H. An Aspiration Set EMOA Based on Averaged Hausdorff Distances. In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8). Vol 8426. Lecture Notes in Computer Science. Springer; 2014:153–156.","apa":"Rudolph, G., Grimme, C., Schütze, O., & Trautmann, H. (2014). An Aspiration Set EMOA Based on Averaged Hausdorff Distances. Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 8426, 153–156.","short":"G. Rudolph, C. Grimme, O. Schütze, H. Trautmann, in: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), Springer, Gainesville, Florida, USA, 2014, pp. 153–156."},"status":"public","publication":"Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)","place":"Gainesville, Florida, USA","department":[{"_id":"34"},{"_id":"819"}],"series_title":"Lecture Notes in Computer Science","page":"153–156","year":"2014","language":[{"iso":"eng"}],"volume":8426,"_id":"46383","date_created":"2023-08-04T15:34:44Z","title":"An Aspiration Set EMOA Based on Averaged Hausdorff Distances","author":[{"full_name":"Rudolph, Günter","last_name":"Rudolph","first_name":"Günter"},{"first_name":"Christian","full_name":"Grimme, Christian","last_name":"Grimme"},{"last_name":"Schütze","full_name":"Schütze, Oliver","first_name":"Oliver"},{"id":"100740","first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","full_name":"Trautmann, Heike"}],"type":"conference","user_id":"15504","abstract":[{"text":"We propose an evolutionary multiobjective algorithm that approximates multiple reference points (the aspiration set) in a single run using the concept of the averaged Hausdorff distance.","lang":"eng"}]}