{"doi":"10.1007/978-3-030-05348-2_19","date_created":"2023-11-14T15:58:57Z","author":[{"last_name":"Bossek","full_name":"Bossek, Jakob","first_name":"Jakob","id":"102979","orcid":"0000-0002-4121-4668"},{"first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike"}],"publication_identifier":{"isbn":["978-3-030-05348-2"]},"department":[{"_id":"819"}],"series_title":"Lecture Notes in Computer Science","place":"Cham","date_updated":"2023-12-13T10:47:32Z","title":"Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time","extern":"1","abstract":[{"text":"A multiobjective perspective onto common performance measures such as the PAR10 score or the expected runtime of single-objective stochastic solvers is presented by directly investigating the tradeoff between the fraction of failed runs and the average runtime. Multi-objective indicators operating in the bi-objective space allow for an overall performance comparison on a set of instances paving the way for instance-based automated algorithm selection techniques.","lang":"eng"}],"_id":"48875","status":"public","year":"2019","user_id":"102979","citation":{"bibtex":"@inproceedings{Bossek_Trautmann_2019, place={Cham}, series={Lecture Notes in Computer Science}, title={Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time}, DOI={10.1007/978-3-030-05348-2_19}, booktitle={Learning and Intelligent Optimization}, publisher={Springer International Publishing}, author={Bossek, Jakob and Trautmann, Heike}, editor={Battiti, Roberto and Brunato, Mauro and Kotsireas, Ilias and Pardalos, Panos M.}, year={2019}, pages={215–219}, collection={Lecture Notes in Computer Science} }","apa":"Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 215–219). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_19","ieee":"J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, pp. 215–219, doi: 10.1007/978-3-030-05348-2_19.","ama":"Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:215–219. doi:10.1007/978-3-030-05348-2_19","mla":"Bossek, Jakob, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” Learning and Intelligent Optimization, edited by Roberto Battiti et al., Springer International Publishing, 2019, pp. 215–219, doi:10.1007/978-3-030-05348-2_19.","short":"J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 215–219.","chicago":"Bossek, Jakob, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” In Learning and Intelligent Optimization, edited by Roberto Battiti, Mauro Brunato, Ilias Kotsireas, and Panos M. Pardalos, 215–219. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-05348-2_19."},"publisher":"Springer International Publishing","keyword":["Algorithm selection","Performance measurement"],"type":"conference","page":"215–219","language":[{"iso":"eng"}],"editor":[{"first_name":"Roberto","last_name":"Battiti","full_name":"Battiti, Roberto"},{"first_name":"Mauro","last_name":"Brunato","full_name":"Brunato, Mauro"},{"last_name":"Kotsireas","full_name":"Kotsireas, Ilias","first_name":"Ilias"},{"first_name":"Panos M.","last_name":"Pardalos","full_name":"Pardalos, Panos M."}],"publication":"Learning and Intelligent Optimization"}