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<titleInfo><title>An Aspiration Set EMOA Based on Averaged Hausdorff Distances</title></titleInfo>





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  <namePart type="given">Günter</namePart>
  <namePart type="family">Rudolph</namePart>
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  <namePart type="given">Christian</namePart>
  <namePart type="family">Grimme</namePart>
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  <namePart type="given">Oliver</namePart>
  <namePart type="family">Schütze</namePart>
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  <namePart type="given">Heike</namePart>
  <namePart type="family">Trautmann</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">100740</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-9788-8282</description></name>







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<abstract lang="eng">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.</abstract>

<originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">2014</dateIssued>
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<relatedItem type="host"><titleInfo><title>Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)</title></titleInfo>
<part><detail type="volume"><number>8426</number></detail><extent unit="pages">153–156</extent>
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<chicago>Rudolph, Günter, Christian Grimme, Oliver Schütze, and Heike Trautmann. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” In &lt;i&gt;Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)&lt;/i&gt;, 8426:153–156. Lecture Notes in Computer Science. Gainesville, Florida, USA: Springer, 2014.</chicago>
<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.</short>
<apa>Rudolph, G., Grimme, C., Schütze, O., &amp;#38; Trautmann, H. (2014). An Aspiration Set EMOA Based on Averaged Hausdorff Distances. &lt;i&gt;Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)&lt;/i&gt;, &lt;i&gt;8426&lt;/i&gt;, 153–156.</apa>
<ieee>G. Rudolph, C. Grimme, O. Schütze, and H. Trautmann, “An Aspiration Set EMOA Based on Averaged Hausdorff Distances,” in &lt;i&gt;Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)&lt;/i&gt;, 2014, vol. 8426, pp. 153–156.</ieee>
<ama>Rudolph G, Grimme C, Schütze O, Trautmann H. An Aspiration Set EMOA Based on Averaged Hausdorff Distances. In: &lt;i&gt;Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)&lt;/i&gt;. Vol 8426. Lecture Notes in Computer Science. Springer; 2014:153–156.</ama>
<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} }</bibtex>
<mla>Rudolph, Günter, et al. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” &lt;i&gt;Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8)&lt;/i&gt;, vol. 8426, Springer, 2014, pp. 153–156.</mla>
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