Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32140
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dc.contributor.authorSalimifard, Khodakaramen_UK
dc.contributor.authorLi, Jingpengen_UK
dc.contributor.authorMohammadi, Davooden_UK
dc.contributor.authorMoghdani, Rezaen_UK
dc.date.accessioned2021-01-09T01:20:37Z-
dc.date.available2021-01-09T01:20:37Z-
dc.date.issued2021-07en_UK
dc.identifier.urihttp://hdl.handle.net/1893/32140-
dc.description.abstractParallel machine scheduling is one of the most common studied problems in recent years, however, this classic optimization problem has to achieve two conflicting objectives, i.e. minimizing the total tardiness and minimizing the total wastes, if the scheduling is done in the context of plastic injection industry where jobs are splitting and molds are important constraints. This paper proposes a mathematical model for scheduling parallel machines with splitting jobs and resource constraints. Two minimization objectives - the total tardiness and the number of waste - are considered, simultaneously. The obtained model is a bi-objective integer linear programming model that is shown to be of NP-hard class optimization problems. In this paper, a novel Multi-Objective Volleyball Premier League (MOVPL) algorithm is presented for solving the aforementioned problem. This algorithm uses the crowding distance concept used in NSGA-II as an extension of the Volleyball Premier League (VPL) that we recently introduced. Furthermore, the results are compared with six multi-objective metaheuristic algorithms of MOPSO, NSGA-II, MOGWO, MOALO, MOEA/D, and SPEA2. Using five standard metrics and ten test problems, the performance of the Pareto-based algorithms was investigated. The results demonstrate that in general, the proposed algorithm has supremacy than the other four algorithms.en_UK
dc.language.isoenen_UK
dc.publisherBMCen_UK
dc.relationSalimifard K, Li J, Mohammadi D & Moghdani R (2021) A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs. Applied Intelligence, 51 (7), pp. 4143-4161. https://doi.org/10.1007/s10489-020-02027-1en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectParallel machine schedulingen_UK
dc.subjectSplitting jobsen_UK
dc.subjectWastesen_UK
dc.subjectTotal tardinessen_UK
dc.subjectMulti-objective optimisationen_UK
dc.subjectVolleyball premier leagueen_UK
dc.titleA multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1007/s10489-020-02027-1en_UK
dc.citation.jtitleApplied Intelligenceen_UK
dc.citation.issn1573-7497en_UK
dc.citation.issn0924-669Xen_UK
dc.citation.volume51en_UK
dc.citation.issue7en_UK
dc.citation.spage4143en_UK
dc.citation.epage4161en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.date08/12/2020en_UK
dc.contributor.affiliationPersian Gulf Universityen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationPersian Gulf Universityen_UK
dc.contributor.affiliationPersian Gulf Universityen_UK
dc.identifier.isiWOS:000599057400001en_UK
dc.identifier.scopusid2-s2.0-85097300943en_UK
dc.identifier.wtid1692705en_UK
dc.contributor.orcid0000-0002-6758-0084en_UK
dc.date.accepted2020-10-16en_UK
dcterms.dateAccepted2020-10-16en_UK
dc.date.filedepositdate2021-01-08en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorSalimifard, Khodakaram|en_UK
local.rioxx.authorLi, Jingpeng|0000-0002-6758-0084en_UK
local.rioxx.authorMohammadi, Davood|en_UK
local.rioxx.authorMoghdani, Reza|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2021-01-08en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2021-01-08|en_UK
local.rioxx.filenameSalimifard2021_Article_AMultiObjectiveVolleyballPremi.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1573-7497en_UK
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