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Postler, <i>Smart Card basierte Berechnung einer Gruppensignatur als Teil einer biometrischen Authentisierung</i>. 2010.","ama":"Postler T. <i>Smart Card basierte Berechnung einer Gruppensignatur als Teil einer biometrischen Authentisierung</i>.; 2010."},"year":"2010","has_accepted_license":"1"},{"citation":{"ieee":"S. Mostaghim, H. Trautmann, and O. Mersmann, “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities,” in <i>Parallel Problem Solving from Nature, PPSN XI</i>, 2010, pp. 101–110, doi: <a href=\"https://doi.org/10.1007/978-3-642-15871-1_11\">https://doi.org/10.1007/978-3-642-15871-1_11</a>.","chicago":"Mostaghim, Sanaz, Heike Trautmann, and Olaf Mersmann. “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.” In <i>Parallel Problem Solving from Nature, PPSN XI</i>, edited by Robert Schaefer, Carlos Cotta, Joanna Kołodziej, and Günter Rudolph, 101–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. <a href=\"https://doi.org/10.1007/978-3-642-15871-1_11\">https://doi.org/10.1007/978-3-642-15871-1_11</a>.","ama":"Mostaghim S, Trautmann H, Mersmann O. Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. In: Schaefer R, Cotta C, Kołodziej J, Rudolph G, eds. <i>Parallel Problem Solving from Nature, PPSN XI</i>. Springer Berlin Heidelberg; 2010:101–110. doi:<a href=\"https://doi.org/10.1007/978-3-642-15871-1_11\">https://doi.org/10.1007/978-3-642-15871-1_11</a>","apa":"Mostaghim, S., Trautmann, H., &#38; Mersmann, O. (2010). Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. In R. Schaefer, C. Cotta, J. Kołodziej, &#38; G. Rudolph (Eds.), <i>Parallel Problem Solving from Nature, PPSN XI</i> (pp. 101–110). Springer Berlin Heidelberg. <a href=\"https://doi.org/10.1007/978-3-642-15871-1_11\">https://doi.org/10.1007/978-3-642-15871-1_11</a>","short":"S. Mostaghim, H. Trautmann, O. Mersmann, in: R. Schaefer, C. Cotta, J. Kołodziej, G. Rudolph (Eds.), Parallel Problem Solving from Nature, PPSN XI, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010, pp. 101–110.","mla":"Mostaghim, Sanaz, et al. “Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.” <i>Parallel Problem Solving from Nature, PPSN XI</i>, edited by Robert Schaefer et al., Springer Berlin Heidelberg, 2010, pp. 101–110, doi:<a href=\"https://doi.org/10.1007/978-3-642-15871-1_11\">https://doi.org/10.1007/978-3-642-15871-1_11</a>.","bibtex":"@inproceedings{Mostaghim_Trautmann_Mersmann_2010, place={Berlin, Heidelberg}, title={Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities}, DOI={<a href=\"https://doi.org/10.1007/978-3-642-15871-1_11\">https://doi.org/10.1007/978-3-642-15871-1_11</a>}, booktitle={Parallel Problem Solving from Nature, PPSN XI}, publisher={Springer Berlin Heidelberg}, author={Mostaghim, Sanaz and Trautmann, Heike and Mersmann, Olaf}, editor={Schaefer, Robert and Cotta, Carlos and Kołodziej, Joanna and Rudolph, Günter}, year={2010}, pages={101–110} }"},"page":"101–110","year":"2010","place":"Berlin, Heidelberg","publication_identifier":{"isbn":["978-3-642-15871-1"]},"doi":"https://doi.org/10.1007/978-3-642-15871-1_11","title":"Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities","author":[{"full_name":"Mostaghim, Sanaz","last_name":"Mostaghim","first_name":"Sanaz"},{"first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","id":"100740","full_name":"Trautmann, Heike"},{"last_name":"Mersmann","full_name":"Mersmann, Olaf","first_name":"Olaf"}],"date_created":"2023-08-04T16:06:43Z","publisher":"Springer Berlin Heidelberg","date_updated":"2023-10-16T13:56:31Z","status":"public","editor":[{"first_name":"Robert","full_name":"Schaefer, Robert","last_name":"Schaefer"},{"first_name":"Carlos","full_name":"Cotta, Carlos","last_name":"Cotta"},{"last_name":"Kołodziej","full_name":"Kołodziej, Joanna","first_name":"Joanna"},{"first_name":"Günter","full_name":"Rudolph, Günter","last_name":"Rudolph"}],"abstract":[{"lang":"eng","text":"The integration of experts’ preferences is an important aspect in multi-objective optimization. Usually, one out of a set of Pareto optimal solutions has to be chosen based on expert knowledge. A combination of multi-objective particle swarm optimization (MOPSO) with the desirability concept is introduced to efficiently focus on desired and relevant regions of the true Pareto front of the optimization problem which facilitates the solution selection process. Desirability functions of the objectives are optimized, and the desirability index is used for selecting the global best particle in each iteration. The resulting MOPSO variant DF-MOPSO in most cases exclusively generates solutions in the desired area of the Pareto front. Approximations of the whole Pareto front result in cases of misspecified desired regions."}],"type":"conference","publication":"Parallel Problem Solving from Nature, PPSN XI","language":[{"iso":"eng"}],"user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"_id":"46408"},{"year":"2010","place":"Berlin, Heidelberg","page":"73–82","citation":{"ama":"Mersmann O, Preuss M, Trautmann H. Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. In: <i>Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I</i>. PPSN’10. Springer-Verlag; 2010:73–82.","ieee":"O. Mersmann, M. Preuss, and H. Trautmann, “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis,” in <i>Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I</i>, 2010, pp. 73–82.","chicago":"Mersmann, Olaf, Mike Preuss, and Heike Trautmann. “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.” In <i>Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I</i>, 73–82. PPSN’10. Berlin, Heidelberg: Springer-Verlag, 2010.","bibtex":"@inproceedings{Mersmann_Preuss_Trautmann_2010, place={Berlin, Heidelberg}, series={PPSN’10}, title={Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis}, booktitle={Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I}, publisher={Springer-Verlag}, author={Mersmann, Olaf and Preuss, Mike and Trautmann, Heike}, year={2010}, pages={73–82}, collection={PPSN’10} }","mla":"Mersmann, Olaf, et al. “Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis.” <i>Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I</i>, Springer-Verlag, 2010, pp. 73–82.","short":"O. Mersmann, M. Preuss, H. Trautmann, in: Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I, Springer-Verlag, Berlin, Heidelberg, 2010, pp. 73–82.","apa":"Mersmann, O., Preuss, M., &#38; Trautmann, H. (2010). Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. <i>Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I</i>, 73–82."},"publication_identifier":{"isbn":["3642158439"]},"title":"Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis","date_updated":"2023-10-16T13:55:43Z","publisher":"Springer-Verlag","date_created":"2023-08-04T16:02:28Z","author":[{"last_name":"Mersmann","full_name":"Mersmann, Olaf","first_name":"Olaf"},{"first_name":"Mike","full_name":"Preuss, Mike","last_name":"Preuss"},{"last_name":"Trautmann","orcid":"0000-0002-9788-8282","full_name":"Trautmann, Heike","id":"100740","first_name":"Heike"}],"abstract":[{"lang":"eng","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."}],"status":"public","publication":"Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I","type":"conference","keyword":["benchmarking","multidimensional scaling","consensus ranking","evolutionary optimization","BBOB test set"],"language":[{"iso":"eng"}],"_id":"46405","department":[{"_id":"34"},{"_id":"819"}],"series_title":"PPSN’10","user_id":"15504"}]