Publication:
A Decision Support System for Solving Job-Shop Scheduling Problems using Genetic Al-gorithms

dc.contributor.author Hasan, S. M. Kamrul en_US
dc.contributor.author Sarker, Ruhul en_US
dc.contributor.author Essam, Daryl en_US
dc.date.accessioned 2021-11-25T13:33:59Z
dc.date.available 2021-11-25T13:33:59Z
dc.date.issued 2008 en_US
dc.description.abstract The primary objective of this research is to solve the job-shop scheduling problems by minimizing the makespan. In this paper, we first developed a genetic algorithm (GA) for solving JSSPs, and then improved the algorithm by integrating with three priority rules. The performance of the developed algorithm was tested by solving 40 benchmark problems and comparing their results with that of a number of well-known algorithms. For convenience of im-plementation, we developed a decision support system (DSS). In the DSS, we built a graphical user interface (GUI) for user friendly data inputs, model choices, and output generation. An overview of the DSS and the analysis of experimental results are provided. en_US
dc.identifier.isbn 9780646506715 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/39970
dc.language English
dc.language.iso EN en_US
dc.publisher Monash University en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other Decision support system en_US
dc.subject.other Job-shop scheduling en_US
dc.subject.other Genetic algorithm en_US
dc.subject.other Priority rule en_US
dc.subject.other Makespan en_US
dc.title A Decision Support System for Solving Job-Shop Scheduling Problems using Genetic Al-gorithms en_US
dc.type Conference Paper en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.description.notePublic Original inactive link: http://www.complexity.org.au/ies2008/ en_US
unsw.identifier.doi https://doi.org/10.26190/unsworks/544
unsw.publisher.place Melbourne, Australia en_US
unsw.relation.faculty UNSW Canberra
unsw.relation.ispartofconferenceLocation Melbourne, Australia en_US
unsw.relation.ispartofconferenceName The 12th Asia-Pacific Symposium on Intelligent & Evolutionary Systems (IES’08) en_US
unsw.relation.ispartofconferenceProceedingsTitle Asia-Pacific Symposium on Intelligent & Evolutionary Systems en_US
unsw.relation.ispartofconferenceYear 2008 en_US
unsw.relation.ispartofpagefrompageto 71-79 en_US
unsw.relation.originalPublicationAffiliation Hasan, S. M. Kamrul, Information Technology & Electrical Engineering, Australian Defence Force Academy, UNSW en_US
unsw.relation.originalPublicationAffiliation Sarker, Ruhul, Information Technology & Electrical Engineering, Australian Defence Force Academy, UNSW en_US
unsw.relation.originalPublicationAffiliation Essam, Daryl, Information Technology & Electrical Engineering, Australian Defence Force Academy, UNSW en_US
unsw.relation.school School of Engineering and Information Technology *
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