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https://hdl.handle.net/2440/66820
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dc.contributor.author | Friedrich, T. | - |
dc.contributor.author | Horoba, C. | - |
dc.contributor.author | Neumann, F. | - |
dc.contributor.editor | Rudolph, G. | - |
dc.contributor.editor | Jansen, T. | - |
dc.contributor.editor | Lucas, S.M. | - |
dc.contributor.editor | Poloni, C. | - |
dc.contributor.editor | Beume, N. | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Parallel problem solving from nature - PPSN X : 10th International Conference, Dortmund, Germany, September 13-17, 2008 ; proceedings / Günter Rudolph ... [et al.] (eds.), pp.671-680 | - |
dc.identifier.isbn | 3540876995 | - |
dc.identifier.isbn | 9783540876991 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://hdl.handle.net/2440/66820 | - |
dc.description | Also published as a journal article: Lecture notes in computer science, 2008; 5199:671-680 | - |
dc.description.abstract | It is widely assumed that evolutionary algorithms for multi-objective optimization problems should use certain mechanisms to achieve a good spread over the Pareto front. In this paper, we examine such mechanisms from a theoretical point of view and analyze simple algorithms incorporating the concept of fairness introduced by Laumanns et al. [7]. This mechanism tries to balance the number of offspring of all individuals in the current population. We rigorously analyze the runtime behavior of different fairness mechanisms and present showcase examples to point out situations where the right mechanism can speed up the optimization process significantly. | - |
dc.description.statementofresponsibility | Tobias Friedrich, Christian Horoba, and Frank Neumann | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science; 5199 | - |
dc.rights | © Springer-Verlag Berlin Heidelberg 2008 | - |
dc.source.uri | http://dx.doi.org/10.1007/978-3-540-87700-4_67 | - |
dc.title | Runtime analyses for using fairness in evolutionary multi-objective optimization | - |
dc.type | Conference paper | - |
dc.contributor.conference | Conference on Parallel Problem Solving from Nature (10th : 2008 : Dortmund, Germany) | - |
dc.identifier.doi | 10.1007/978-3-540-87700-4_67 | - |
dc.publisher.place | Berlin | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Neumann, F. [0000-0002-2721-3618] | - |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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