Show simple item record

dc.contributor.authorBibiks, K
dc.contributor.authorHu, YF
dc.contributor.authorLi, JP
dc.contributor.authorPillai, P
dc.contributor.authorSmith, A
dc.date.accessioned2019-07-01T11:56:30Z
dc.date.available2019-07-01T11:56:30Z
dc.date.issued2018-05-03
dc.identifier.citationBibiks, K., Hu, Y. F., Li, J-P., Pillai, P. and Smith, A. (2018) Improved discrete cuckoo search for the resource-constrained project scheduling problem, Applied Soft Computing, 69, pp. 493-503.en
dc.identifier.issn1568-4946en
dc.identifier.doi10.1016/j.asoc.2018.04.047en
dc.identifier.urihttp://hdl.handle.net/2436/622496
dc.description.abstract© 2018 An Improved Discrete Cuckoo Search (IDCS) is proposed in this paper to solve resource-constrained project scheduling problems (RCPSPs). The original Cuckoo Search (CS) was inspired by the breeding behaviour of some cuckoo species and was designed specifically for application in continuous optimisation problems, in which the algorithm had been demonstrated to be effective. The proposed IDCS aims to improve the original CS for solving discrete scheduling problems by reinterpreting its key elements: solution representation scheme, Lévy flight and solution improvement operators. An event list solution representation scheme has been used to present projects and a novel event movement and an event recombination operator has been developed to ensure better quality of received results and improve the efficiency of the algorithm. Numerical results have demonstrated that the proposed IDCS can achieve a competitive level of performance compared to other state-of-the-art metaheuristics in solving a set of benchmark instances from a well-known PSPLIB library, especially in solving complex benchmark instances.en
dc.description.sponsorshipThis work is partially funded by the Innovate UK project HARNET – Harmonised Antennas, Radios and Networks under contract no. 100004607.en
dc.formatapplication/PDFen
dc.languageen
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S1568494618302382?via%3Dihuben
dc.subjectschedulingen
dc.subjectresource-constrained project scheduling problemen
dc.subjectcuckoo searchen
dc.subjectmetaheuristicsen
dc.subjectcombinatorial optimisationen
dc.titleImproved discrete cuckoo search for the resource-constrained project scheduling problemen
dc.typeJournal articleen
dc.identifier.journalApplied Soft Computingen
dc.date.updated2019-06-20T17:23:51Z
dc.date.accepted2018-04-24
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW010719PPen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2019-05-03en
dc.source.volume69
dc.source.beginpage493
dc.source.endpage503
dc.description.versionPublished version
refterms.dateFCD2019-07-01T11:55:00Z
refterms.versionFCDAM
refterms.dateFOA2019-05-03T00:00:00Z


Files in this item

Thumbnail
Name:
Publisher version
Thumbnail
Name:
Bibiks_et_al_Improved_discrete ...
Size:
1.122Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/