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dc.date.accessioned | 2012-09-27T15:08:07Z | |
dc.date.available | 2012-09-27T15:08:07Z | |
dc.date.issued | 2001 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/21670 | |
dc.description.abstract | The flow shop scheduling problem (FSSP) [12], has held the attention of many researchers. In a simplest usual situation, a set of jobs must follow the same route to be executed on a set of machines (resources) and the main objective is to optimize some performance variable (makespan, tardiness, lateness, etc.). In the case of the makespan, it have been proved that when the number of machines is greater than or equal to three, the problem is NP-hard. | en |
dc.language | en | es |
dc.subject | Solving the flow shop scheduling problem | en |
dc.subject | Scheduling | es |
dc.subject | evolutionary approaches | en |
dc.subject | ARTIFICIAL INTELLIGENCE | es |
dc.title | Solving the flow shop scheduling problem under evolutionary approaches | en |
dc.type | Objeto de conferencia | es |
sedici.creator.person | Vilanova, Gabriela | es |
sedici.creator.person | Pandolfi, Daniel | es |
sedici.creator.person | San Pedro, María Eugenia de | es |
sedici.creator.person | Villagra, Andrea | es |
sedici.creator.person | Bain, María Elena | es |
sedici.creator.person | Gallard, Raúl Hector | es |
sedici.description.note | Eje: Inteligencia Computacional - Metaheurísticas | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática (RedUNCI) | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
sedici.date.exposure | 2001-05 | es |
sedici.relation.event | III Workshop de Investigadores en Ciencias de la Computación | es |
sedici.description.peerReview | peer-review | es |