A MULTI-OBJECTIVE RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM USING GENETIC ALGORITHM
- Authors
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LADI OGUNWOLU
Department of Systems Engineering, Faculty of Engineering, University of Lagos, Nigeria.
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Adeyanju Sosimi
Department of Systems Engineering, Faculty of Engineering, University of Lagos, Nigeria
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Toheeb Salahudeen
Department of Systems Engineering, Faculty of Engineering, University of Lagos, Nigeria
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- Keywords:
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- Abstract
- Resource-Constrained Project Scheduling Problem (RCPSP) has been modeled as a single or multi-objective, 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.
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- 2019-04-29
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With the submission of a manuscript, the corresponding author confirms that the manuscript is not under consideration by another journal. With the acceptance of a manuscript, the Journal reserves the exclusive right of publication and dissemination of the information contained in the article. The veracity of the paper and all the claims therein is solely the opinion of the authors not the journal.
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