dc.contributor.author | Ruiz, Ana B. | |
dc.contributor.author | Luque, Mariano | |
dc.contributor.author | Miettinen, Kaisa | |
dc.contributor.author | Saborido, Rubén | |
dc.contributor.editor | Gaspar-Cunha, António | |
dc.contributor.editor | Antunes, Carlos Henggeler | |
dc.contributor.editor | Coello, Carlos Coello | |
dc.date.accessioned | 2018-03-07T09:40:00Z | |
dc.date.available | 2018-03-07T09:40:00Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Ruiz, A. B., Luque, M., Miettinen, K., & Saborido, R. (2015). An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA. In A. Gaspar-Cunha, C. H. Antunes, & C. C. Coello (Eds.), <i>Evolutionary Multi-Criterion Optimization : 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II</i> (pp. 249-263). Springer. Lecture Notes in Computer Science, 9019. <a href="https://doi.org/10.1007/978-3-319-15892-1_17" target="_blank">https://doi.org/10.1007/978-3-319-15892-1_17</a> | |
dc.identifier.other | CONVID_24644711 | |
dc.identifier.other | TUTKAID_65783 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/57264 | |
dc.description.abstract | In this paper, we describe an interactive evolutionary algorithm
called Interactive WASF-GA to solve multiobjective optimization
problems. This algorithm is based on a preference-based evolutionary
multiobjective optimization algorithm called WASF-GA. In Interactive
WASF-GA, a decision maker (DM) provides preference information at
each iteration simple as a reference point consisting of desirable objective
function values and the number of solutions to be compared. Using
this information, the desired number of solutions are generated to represent
the region of interest of the Pareto optimal front associated to the
reference point given. Interactive WASF-GA implies a much lower computational
cost than the original WASF-GA because it generates a small
number of solutions. This speeds up the convergence of the algorithm,
making it suitable for many decision-making problems. Its e ciency and
usefulness is demonstrated with a ve-objective optimization problem. | |
dc.format.extent | 591 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Evolutionary Multi-Criterion Optimization : 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II | |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.subject.other | Evolutionary algorithms | |
dc.subject.other | Interactive methods | |
dc.subject.other | Multiobjective programming | |
dc.subject.other | Pareto optimal solutions | |
dc.subject.other | Reference point approach | |
dc.title | An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA | |
dc.type | conferenceObject | |
dc.identifier.urn | URN:NBN:fi:jyu-201803071668 | |
dc.contributor.laitos | Tietotekniikan laitos | fi |
dc.contributor.laitos | Department of Mathematical Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.date.updated | 2018-03-07T07:15:03Z | |
dc.relation.isbn | 978-3-319-15891-4 | |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 249-263 | |
dc.relation.issn | 0302-9743 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © Springer International 2015. This is a final draft version of an article whose final and definitive form has been published by Springer International. Published in this repository with the kind permission of the publisher. | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.conference | International Conference on Evolutionary Multi-Criterion Optimization | |
dc.relation.doi | 10.1007/978-3-319-15892-1_17 | |
dc.type.okm | A4 | |