| dc.contributor.author | Filatovas, Ernestas | |
| dc.contributor.author | Kurasova, Olga | |
| dc.contributor.author | Redondo, Juana López | |
| dc.contributor.author | Fernández, José | |
| dc.date.accessioned | 2023-09-18T16:42:37Z | |
| dc.date.available | 2023-09-18T16:42:37Z | |
| dc.date.issued | 2016 | |
| dc.identifier.other | (BIS)VGT02-000032539 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116225 | |
| dc.description.abstract | Multi-objective preference-based evolutionary algorithms approximate the part of the Pareto front that meets the preference information expressed by the Decision Maker. However, only a few of such algorithms are able to obtain well-distributed solutions covering the complete “region of interest”. In this work a preference-based evolutionary algorithm for approximating the region of interest of multi-objective optimization problems is proposed. The efficiency of the proposed algorithm has been experimentally evaluated and compared to another state-of-the-art multi-objective preference- based evolutionary algorithm by solving a set of multi-objective optimization benchmark problems. | eng |
| dc.format.extent | p. 21-24 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.subject | FM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes | |
| dc.title | A preference-based multi-objective evolutionary algorithm for approximating a region of interest | |
| dc.type | Konferencijos pranešimo santrauka / Conference presentation abstract | |
| dcterms.references | 13 | |
| dc.type.pubtype | T2 - Konferencijos pranešimo tezės / Conference presentation abstract | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | Vilniaus universitetas | |
| dc.contributor.institution | University of Almería | |
| dc.contributor.institution | University of Murcia | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | Multi-objective optimization | |
| dc.subject.en | Evolutionary algorithms | |
| dc.subject.en | Preference-based algorithms | |
| dcterms.sourcetitle | GOW’16 : proceedings of the XIII Global Optimization Workshop, 4-8 September 2016 : [extended abstracts] | |
| dc.publisher.name | University of Minho | |
| dc.publisher.city | Braga, Portugal | |
| dc.identifier.elaba | 18300855 | |
