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dc.date.accessioned 2012-11-05T12:59:36Z
dc.date.available 2012-11-05T12:59:36Z
dc.date.issued 2012-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23606
dc.description.abstract In this paper we present a comparative study of four trajectory metaheuristics or single-solution based metaheuristics (S-meta heuristics): Iterated Local Search (ILS), Greedy Randomized Adaptive Search Procedure (GRASP), Variable Neighborhood Search (VNS) and Simulated Annealing (SA). The metaheuristics were used to minimize the Maximum Tardiness (Tmax) for unrestricted parallel identical machine scheduling (Pm) problem, which is considered as NP-Hard problem. The results obtained through experimentation show that SA was the best behaved. en
dc.language en es
dc.subject Iterated Local Search en
dc.subject Scheduling es
dc.subject Greedy Randomized Adaptive Search Procedure en
dc.subject Simulation es
dc.subject Variable Neighborhood Search en
dc.subject Parallel es
dc.subject Intelligent agents es
dc.subject Simulated Annealing en
dc.subject Parallel Machines Scheduling en
dc.subject Maximum Tardiness en
dc.subject Statistical Nonparametric Tests en
dc.title Comparative study of trajectory metaheuristics for the resolution of scheduling problem of unrestricted parallel identical machines en
dc.type Objeto de conferencia es
sedici.creator.person Gatica, Claudia R. es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.creator.person Leguizamón, Guillermo es
sedici.description.note Eje: Workshop Agentes y sistemas inteligentes (WASI) 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 2012-10
sedici.relation.event XVIII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)