{"department":[{"_id":"34"},{"_id":"819"}],"publication":"Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy","intvolume":" 6073","date_updated":"2023-10-16T13:55:59Z","publisher":"Springer","citation":{"ama":"Mersmann O, Trautmann H, Naujoks B, Weihs C. On the Distribution of EMOA Hypervolumes. In: Blum C, Battiti R, eds. Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy. Vol 6073. Lecture Notes in Computer Science. Springer; 2010:333–337.","apa":"Mersmann, O., Trautmann, H., Naujoks, B., & Weihs, C. (2010). On the Distribution of EMOA Hypervolumes. In C. Blum & R. Battiti (Eds.), Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy (Vol. 6073, pp. 333–337). Springer.","mla":"Mersmann, O., et al. “On the Distribution of EMOA Hypervolumes.” Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, edited by C Blum and R Battiti, vol. 6073, Springer, 2010, pp. 333–337.","short":"O. Mersmann, H. Trautmann, B. Naujoks, C. Weihs, in: C. Blum, R. Battiti (Eds.), Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, Springer, 2010, pp. 333–337.","chicago":"Mersmann, O, Heike Trautmann, B Naujoks, and C Weihs. “On the Distribution of EMOA Hypervolumes.” In Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, edited by C Blum and R Battiti, 6073:333–337. Lecture Notes in Computer Science. Springer, 2010.","ieee":"O. Mersmann, H. Trautmann, B. Naujoks, and C. Weihs, “On the Distribution of EMOA Hypervolumes,” in Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy, 2010, vol. 6073, pp. 333–337.","bibtex":"@inproceedings{Mersmann_Trautmann_Naujoks_Weihs_2010, series={Lecture Notes in Computer Science}, title={On the Distribution of EMOA Hypervolumes}, volume={6073}, booktitle={Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy}, publisher={Springer}, author={Mersmann, O and Trautmann, Heike and Naujoks, B and Weihs, C}, editor={Blum, C and Battiti, R}, year={2010}, pages={333–337}, collection={Lecture Notes in Computer Science} }"},"status":"public","_id":"46406","editor":[{"full_name":"Blum, C","last_name":"Blum","first_name":"C"},{"first_name":"R","full_name":"Battiti, R","last_name":"Battiti"}],"type":"conference","title":"On the Distribution of EMOA Hypervolumes","author":[{"full_name":"Mersmann, O","last_name":"Mersmann","first_name":"O"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike","id":"100740"},{"first_name":"B","last_name":"Naujoks","full_name":"Naujoks, B"},{"first_name":"C","full_name":"Weihs, C","last_name":"Weihs"}],"date_created":"2023-08-04T16:03:45Z","abstract":[{"text":"We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the 'best' one? and the second one: which algorithm should I use for my real world problem? Both are connected and neither is easy to answer. We present methods which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB'09 benchmark results and present some initial findings.","lang":"eng"}],"user_id":"15504","page":"333–337","series_title":"Lecture Notes in Computer Science","year":"2010","language":[{"iso":"eng"}],"volume":6073}