Inferring parameters of a relational system of preferences from assignment examples using an evoluti...
Inferring parameters of a relational system of preferences from assignment examples using an evolutionary algorithm
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Vilnius: Vilnius Gediminas Technical University
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English
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Vilnius: Vilnius Gediminas Technical University
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Most evolutionary multi-objective algorithms perform poorly in many objective problems. They normally do not make selective pressure towards the Region of Interest (RoI), the privileged zone in the Pareto frontier that contains solutions important to a DM. Several works have proved that a priori incorporation of preferences improves convergence to...
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Inferring parameters of a relational system of preferences from assignment examples using an evolutionary algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_ae7d901df6f24d268b06454afd129043
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae7d901df6f24d268b06454afd129043
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ISSN
2029-4913
E-ISSN
2029-4921
DOI
10.3846/tede.2019.9475