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dc.date.accessioned 2012-10-26T12:44:27Z
dc.date.available 2012-10-26T12:44:27Z
dc.date.issued 2002-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23006
dc.description.abstract In this preliminary study the Flow Shop Scheduling Problem (FSSP) is solved by hybrid Evolutionary Algorithms. The algorithms are obtained as a combination of an evolutionary algorithm, which uses the Multi-Inver-Over operator, and two conventional heuristics (CDS and a modified NEH) which are applied either before the evolution begins or when it ends. Here we analyze the genotype and phenotype distribution over the final population of individuals trying to establish the algorithm behavior. Although the original Evolutionary Algorithm was created to provide solutions to the Traveling Salesman Problems (TSP), it can be used for this particular kind of scheduling problem because they share a common chromosome representation. en
dc.format.extent 729-738 es
dc.language en es
dc.subject Algorithms es
dc.subject flow shop sequencing problem en
dc.subject evolutionary algorithms en
dc.subject Heuristic methods es
dc.subject heuristics en
dc.subject Scheduling es
dc.subject CDS en
dc.subject NEH en
dc.title A study of genotype and phenotype distributions in hybrid evolutionary algorithms to solve the flow shop scheduling problem en
dc.type Objeto de conferencia es
sedici.creator.person Minetti, Gabriela F. es
sedici.creator.person Alfonso, Hugo es
sedici.creator.person Gallard, Raúl Hector es
sedici.description.note Eje: Sistemas inteligentes 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 2002-10
sedici.relation.event VIII 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) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)