Divide and conquer: using single objective dispatching rules to improve convergence for multi-objective optimisation

dc.contributor.author	Durasevic, M.
dc.contributor.author	Gil Gala, Francisco Javier
dc.contributor.author	Jakobovic, D.
dc.date.accessioned	2023-10-25T08:55:18Z
dc.date.available	2023-10-25T08:55:18Z
dc.date.issued	2023
dc.identifier.isbn	979-840070119-1
dc.identifier.uri	https://hdl.handle.net/10651/69984
dc.description	Genetic and Evolutionary Computation Conference, GECCO (2023. Lisbon, Portugal)
dc.description.sponsorship	This research has been supported by the Spanish State Agency for Research (AEI) under research project PID2019-106263RB-I00, and the Croatian Science Foundation under the project IP-2019-04-4333.
dc.format.extent	p. 1082-1090
dc.language.iso	eng
dc.relation.ispartof	Gecco 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference
dc.rights	© 2023 by the Association for Computing Machinery, Inc.
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167696309&doi=10.1145%2f3583131.3590370&partnerID=40&md5=525b218e417a0aabeffd8bcd386e4116
dc.title	Divide and conquer: using single objective dispatching rules to improve convergence for multi-objective optimisation
dc.type	conference output
dc.identifier.doi	10.1145/3583131.3590370
dc.relation.projectID	info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106263RB-I00/ES/SCHEDULING, OPTIMIZACION, NUEVOS RETOS, NUEVOS METODOS/
dc.relation.publisherversion	http://dx.doi.org/10.1145/3583131.3590370

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