Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJMR.2008.019212
DC FieldValue
dc.titleApplying Ant Colony Optimisation (ACO) algorithm to dynamic job shop scheduling problems
dc.contributor.authorZhou, R.
dc.contributor.authorLee, H.P.
dc.contributor.authorNee, A.Y.C.
dc.date.accessioned2014-06-17T06:13:04Z
dc.date.available2014-06-17T06:13:04Z
dc.date.issued2008
dc.identifier.citationZhou, R.,Lee, H.P.,Nee, A.Y.C. (2008). Applying Ant Colony Optimisation (ACO) algorithm to dynamic job shop scheduling problems. International Journal of Manufacturing Research 3 (3) : 301-320. ScholarBank@NUS Repository. <a href="https://doi.org/10.1504/IJMR.2008.019212" target="_blank">https://doi.org/10.1504/IJMR.2008.019212</a>
dc.identifier.issn17500591
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/59576
dc.description.abstractAnt Colony Optimization (ACO) is applied to two dynamic job scheduling problems, which have the same mean total workload but different dynamic levels and disturbing severity. Its performances are statistically analysed and the effects of its adaptation mechanism and parameters such as the minimal number of iterations and the size of searching ants are studied. The results show that ACO can perform effectively in both cases; the adaptation mechanism can significantly improve the performance of ACO when disturbances are not severe; increasing the size of iterations and ants per iteration does not necessarily improve the overall performance of ACO. Copyright © 2008, Inderscience Publishers.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1504/IJMR.2008.019212
dc.sourceScopus
dc.subjectACO
dc.subjectAnt Colony Optimization
dc.subjectDynamic job shop scheduling
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1504/IJMR.2008.019212
dc.description.sourcetitleInternational Journal of Manufacturing Research
dc.description.volume3
dc.description.issue3
dc.description.page301-320
dc.identifier.isiutNOT_IN_WOS
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