dc.contributor.author | Palacios Alonso, Juan José | |
dc.contributor.author | Rodríguez Vela, María del Camino | |
dc.contributor.author | Puente Peinador, Jorge | |
dc.contributor.author | González Rodríguez, Inés | |
dc.date.accessioned | 2015-07-15T09:18:20Z | |
dc.date.available | 2015-07-15T09:18:20Z | |
dc.date.issued | 2013-12 | |
dc.identifier.uri | http://hdl.handle.net/10651/31980 | |
dc.description.abstract | In this paper we consider a variant of the flexible job shop scheduling problem with uncertain task durations modelled as fuzzy numbers. We propose a cooperative coevolutionary algorithm to minimise the schedule’s makespan, with two different populations evolving the two main aspects that conform a solution: machine assignment and task relative order. Additionally, we incorporate a specific local search method for each population. The resulting hybrid algorithm, called CELS, is then evaluated on existing benchmark instances, comparing favourably with the state-ofthe-art methods | spa |
dc.description.sponsorship | FEDER TIN2010-20976-C02-02 y MTM2010-16051 | |
dc.format.extent | p. 199-206 | spa |
dc.language.iso | eng | spa |
dc.publisher | Universidad de Oviedo | spa |
dc.relation.ispartof | Proceedings of EUROFUSE 2013 | spa |
dc.rights | © J. J. Palacios et al. | |
dc.title | Hybrid cooperative coevolution for fuzzy flexible job shop scheduling problems | eng |
dc.type | conference output | spa |
dc.rights.accessRights | open access | spa |