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dc.contributor.authorVan Peteghem, Vincent
dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2017-12-02T14:41:58Z
dc.date.available2017-12-02T14:41:58Z
dc.date.issued2013
dc.identifier.doi10.1007/s10696-011-9117-0
dc.identifier.urihttp://hdl.handle.net/20.500.12127/4016
dc.description.abstractIn this paper, an artificial immune system (AIS) algorithm for the resource availability cost problem (RACP) is presented, in which the total cost of the (unlimited) renewable resources required to complete the project by a pre-specified project deadline should be minimized. The AIS algorithm makes use of mechanisms inspired by the vertebrate immune system and includes different algorithmic components, such as a new fitness function, a probability function for the composition of the capacity lists, and a K-means density function in order to avoid premature convergence. All components are explained in detail and computational results for the RACP are presented.
dc.language.isoen
dc.subjectProject Management
dc.subjectProject Scheduling
dc.subjectRACP
dc.titleAn Artificial Immune System Algorithm for the Resource Availability Cost Problem
dc.identifier.journalFlexible Services and Manufacturing
dc.source.volume25
dc.source.issue1-2
dc.source.beginpage122
dc.source.endpage144
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleJournal article with impact factor
vlerick.vlerickdepartmentTOM
dc.identifier.vperid92684
dc.identifier.vperid58614
dc.identifier.vpubid4643


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