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An Efficient Random Key–Based Genetic Algorithm for Solving Multimode Resource-Constrained Project Scheduling Problem

dc.contributor.authorLiu, Jia
dc.contributor.authorChen, Jianwei
dc.contributor.authorTian, Jiefang
dc.contributor.authorLi, Yang
dc.date.accessioned2026-08-20T21:36:52Z
dc.date.available2026-08-20T21:36:52Z
dc.date.copyright2025/09/18
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-16722.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314737
dc.description.abstractAbstractThe multimode resource-constrained project scheduling problem (MRCPSP) is recognized as a well-known NP-hard combinatorial optimization problem. It incorporates both renewable and nonrenewable resources, along with multiple modes of each task, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAn Efficient Random Key–Based Genetic Algorithm for Solving Multimode Resource-Constrained Project Scheduling Problem
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue12
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-16722
dc.journal.fristpage04025193-1
dc.journal.lastpage04025193-12
dc.page12
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012
dc.contenttypeFulltext


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