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https://hdl.handle.net/2440/72021
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DC Field | Value | Language |
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dc.contributor.author | Friedrich, T. | - |
dc.contributor.author | Kroeger, T. | - |
dc.contributor.author | Neumann, F. | - |
dc.contributor.editor | Wang, D.H. | - |
dc.contributor.editor | Reynolds, M. | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | AI 2011: Advances in Artificial Intelligence: 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011. Proceedings / D. Wang and M. Reynolds (eds.): pp.291-300 | - |
dc.identifier.isbn | 9783642258312 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://hdl.handle.net/2440/72021 | - |
dc.description.abstract | Evolutionary algorithms have been widely used to tackle multi-objective optimization problems. Incorporating preference information into the search of evolutionary algorithms for multi-objective optimization is of great importance as it allows one to focus on interesting regions in the objective space. Zitzler et al. have shown how to use a weight distribution function on the objective space to incorporate preference information into hypervolume-based algorithms. We show that this weighted information can easily be used in other popular EMO algorithms as well. Our results for NSGA-II and SPEA2 show that this yields similar results to the hypervolume approach and requires less computational effort. | - |
dc.description.statementofresponsibility | Tobias Friedrich, Trent Kroeger, and Frank Neumann | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture notes in Computer Science ; 7106 | - |
dc.rights | © Springer-Verlag Berlin Heidelberg 2011 | - |
dc.source.uri | https://doi.org/10.1007/978-3-642-25832-9 | - |
dc.title | Weighted preferences in evolutionary multi-objective optimization | - |
dc.type | Conference paper | - |
dc.contributor.conference | Australasian Joint Conference on Artificial Intelligence (24th : 2011 : Perth, Western Australia) | - |
dc.identifier.doi | 10.1007/978-3-642-25832-9 | - |
dc.publisher.place | Germany | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Neumann, F. [0000-0002-2721-3618] | - |
Appears in Collections: | Aurora harvest Computer Science publications |
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