On the Development of Hyper heuristics based Framework for Scheduling Problems in Textile Industry

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dc.contributor.author Nugraheni, Cecilia Esti
dc.contributor.author Abednego, Luciana
dc.date.accessioned 2017-03-23T07:03:26Z
dc.date.available 2017-03-23T07:03:26Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/1188
dc.description Makalah dipresentasikan pada 2016 International Conference on Software Engineering (ICOSE 2016). Tokyo University of Science. Tokyo, Japan. Juni 17-19, 2016. en_US
dc.description.abstract Textile industry, which is one of prominent industries in Indonesia, faces a problem caused by the condition of machine productions. This situation leads to a need of good machine scheduling system. Generally, production processes in textile industry belong to the flow shop scheduling problems. Many approaches/heuristics have been proposed for solving FSSP. Two of them are Palmer’s algorithm and Gupta’s algorithm. This paper investigates a method, called genetic algorithm hyper-heuristic, for combining those heuristics in order to obtain some new better heuristics,. This method is then implemented in a framework. en_US
dc.language.iso en en_US
dc.publisher Tokyo University of Science en_US
dc.subject scheduling en_US
dc.subject flowshop scheduling problem en_US
dc.subject heuristics en_US
dc.subject hyper-heuristics en_US
dc.subject genetic programming en_US
dc.title On the Development of Hyper heuristics based Framework for Scheduling Problems in Textile Industry en_US
dc.type Conference Papers en_US


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