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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 evoluti...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae7d901df6f24d268b06454afd129043

Inferring parameters of a relational system of preferences from assignment examples using an evolutionary algorithm

About this item

Full title

Inferring parameters of a relational system of preferences from assignment examples using an evolutionary algorithm

Publisher

Vilnius: Vilnius Gediminas Technical University

Journal title

Technological and economic development of economy, 2019-05, Vol.25 (4), p.693-715

Language

English

Formats

Publication information

Publisher

Vilnius: Vilnius Gediminas Technical University

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Inferring parameters of a relational system of preferences from assignment examples using an evolutionary algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ae7d901df6f24d268b06454afd129043

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae7d901df6f24d268b06454afd129043

Other Identifiers

ISSN

2029-4913

E-ISSN

2029-4921

DOI

10.3846/tede.2019.9475

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