A Memetic Algorithm for the Solution of the Resource Leveling Problem

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dc.authoridUysal, Furkan/0000-0002-1986-4891
dc.authoridSonmez, Rifat/0000-0001-6163-3264
dc.authorwosidUysal, Furkan/AAN-7532-2021
dc.contributor.authorIranagh, Mehdi
dc.contributor.authorSonmez, Rifat
dc.contributor.authorAtan, Tankut
dc.contributor.authorUysal, Furkan
dc.contributor.authorBettemir, Onder Halis
dc.date.accessioned2024-08-04T20:54:55Z
dc.date.available2024-08-04T20:54:55Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this paper, we present a novel memetic algorithm (MA) for the solution of the resource leveling problem (RLP). The evolutionary framework of the MA is based on integration of a genetic algorithm and simulated annealing methods along with a resource leveling heuristic. The main objective of the proposed algorithm is to integrate complementary strengths of different optimization methods and incorporate the individual learning as a separate process for achieving a successful optimization method for the RLP. The performance of the MA is compared with the state-of-the-art leveling methods. For small instances up to 30 activities, mixed-integer linear models are presented for two leveling metrics to provide a basis for performance evaluation. The computational results indicate that the new integrated framework of the MA outperforms the state-of-the-art leveling heuristics and meta-heuristics and provides a successful method for the RLP. The limitations of popular commercial project management software are also illustrated along with the improvements achieved by the MA to reveal potential contributions of the proposed integrated framework in practice.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkeyen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.3390/buildings13112738
dc.identifier.issn2075-5309
dc.identifier.issue11en_US
dc.identifier.scopus2-s2.0-85178350353en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/buildings13112738
dc.identifier.urihttps://hdl.handle.net/11616/101696
dc.identifier.volume13en_US
dc.identifier.wosWOS:001119872300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofBuildingsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectresource levelingen_US
dc.subjectproject schedulingen_US
dc.subjectoptimizationen_US
dc.subjectgenetic algorithmsen_US
dc.subjectsimulated annealingen_US
dc.subjectmemetic algorithmsen_US
dc.titleA Memetic Algorithm for the Solution of the Resource Leveling Problemen_US
dc.typeArticleen_US

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