A Multi-objective Resource-constrained Project Scheduling Problem Using Genetic Algorithm

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dc.contributor.authorOgunwolu, L.
dc.contributor.authorSosimi, A.A.
dc.contributor.authorSalahudeen, T.
dc.date.accessioned2022-08-30T20:11:39Z
dc.date.available2022-08-30T20:11:39Z
dc.date.issued2018
dc.description.abstractResource-Constrained Project Scheduling Problem (RCPSP) has been modeled as a single or multi-objectives, using minimization of project make-span, lateness, total weighted start time, total project cost and maximization of project net present value. In this paper, a multi-objective RCPSP incorporated resource idleness into the list of RCPSP objectives. Here, the RCPSP is modeled as a Mixed Integer Non-Linear Programme to depict the various objective factors namely cost, time and resource idleness. Genetic algorithm (GA) meta-heuristic solution technique is used to promote solution diversity and determine the Pareto optimal for the multi-objective problem. The performance of the proposed RCPSP model was evaluated using a standard test problem that consist of 5 activities, 3 reusable resource types and a network diagram; a comprehensive computational experiment was performed and the results were analyzed with precedence relations considering the objectives as single objectives, bi-objectives and in combined form as multi-objectives simultaneously. The integration of resources idleness into the multi-objective policy gives more realistic result.en_US
dc.identifier.citationOGUNWOLU, L., Sosimi, A., & Salahudeen, T. (2018). A Multi-Objective Resource-Constrained Project Scheduling Problem Using Genetic Algorithm. FUTA Journal of Engineering and Engineering Technology, 12(1), 90-101.en_US
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/11135
dc.language.isoenen_US
dc.subjectMulti-Objective, Resource-Constrained, Project Scheduling Problem, Genetic Algorithm, Precedence Relationsen_US
dc.titleA Multi-objective Resource-constrained Project Scheduling Problem Using Genetic Algorithmen_US
dc.typeArticleen_US
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