[{"title":"Exploratory Landscape Analysis","doi":"10.1145/2001576.2001690","publisher":"Association for Computing Machinery","date_updated":"2023-10-16T13:54:34Z","author":[{"first_name":"Olaf","last_name":"Mersmann","full_name":"Mersmann, Olaf"},{"first_name":"Bernd","last_name":"Bischl","full_name":"Bischl, Bernd"},{"last_name":"Trautmann","orcid":"0000-0002-9788-8282","full_name":"Trautmann, Heike","id":"100740","first_name":"Heike"},{"last_name":"Preuss","full_name":"Preuss, Mike","first_name":"Mike"},{"first_name":"Claus","last_name":"Weihs","full_name":"Weihs, Claus"},{"last_name":"Rudolph","full_name":"Rudolph, Günter","first_name":"Günter"}],"date_created":"2023-08-04T15:58:22Z","year":"2011","place":"New York, NY, USA","citation":{"apa":"Mersmann, O., Bischl, B., Trautmann, H., Preuss, M., Weihs, C., &#38; Rudolph, G. (2011). Exploratory Landscape Analysis. <i>Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation</i>, 829–836. <a href=\"https://doi.org/10.1145/2001576.2001690\">https://doi.org/10.1145/2001576.2001690</a>","bibtex":"@inproceedings{Mersmann_Bischl_Trautmann_Preuss_Weihs_Rudolph_2011, place={New York, NY, USA}, series={GECCO ’11}, title={Exploratory Landscape Analysis}, DOI={<a href=\"https://doi.org/10.1145/2001576.2001690\">10.1145/2001576.2001690</a>}, booktitle={Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation}, publisher={Association for Computing Machinery}, author={Mersmann, Olaf and Bischl, Bernd and Trautmann, Heike and Preuss, Mike and Weihs, Claus and Rudolph, Günter}, year={2011}, pages={829–836}, collection={GECCO ’11} }","short":"O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, G. Rudolph, in: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2011, pp. 829–836.","mla":"Mersmann, Olaf, et al. “Exploratory Landscape Analysis.” <i>Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation</i>, Association for Computing Machinery, 2011, pp. 829–836, doi:<a href=\"https://doi.org/10.1145/2001576.2001690\">10.1145/2001576.2001690</a>.","ieee":"O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, and G. Rudolph, “Exploratory Landscape Analysis,” in <i>Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation</i>, 2011, pp. 829–836, doi: <a href=\"https://doi.org/10.1145/2001576.2001690\">10.1145/2001576.2001690</a>.","chicago":"Mersmann, Olaf, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, and Günter Rudolph. “Exploratory Landscape Analysis.” In <i>Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation</i>, 829–836. GECCO ’11. New York, NY, USA: Association for Computing Machinery, 2011. <a href=\"https://doi.org/10.1145/2001576.2001690\">https://doi.org/10.1145/2001576.2001690</a>.","ama":"Mersmann O, Bischl B, Trautmann H, Preuss M, Weihs C, Rudolph G. Exploratory Landscape Analysis. In: <i>Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation</i>. GECCO ’11. Association for Computing Machinery; 2011:829–836. doi:<a href=\"https://doi.org/10.1145/2001576.2001690\">10.1145/2001576.2001690</a>"},"page":"829–836","publication_identifier":{"isbn":["9781450305570"]},"keyword":["exploratory landscape analysis","evolutionary optimization","fitness landscape","benchmarking","BBOB test set"],"language":[{"iso":"eng"}],"_id":"46401","series_title":"GECCO ’11","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"abstract":[{"lang":"eng","text":"Exploratory Landscape Analysis subsumes a number of techniques employed to obtain knowledge about the properties of an unknown optimization problem, especially insofar as these properties are important for the performance of optimization algorithms. Where in a first attempt, one could rely on high-level features designed by experts, we approach the problem from a different angle here, namely by using relatively cheap low-level computer generated features. Interestingly, very few features are needed to separate the BBOB problem groups and also for relating a problem to high-level, expert designed features, paving the way for automatic algorithm selection."}],"status":"public","type":"conference","publication":"Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation"}]