Multimode project scheduling based on particle swarm optimization

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103 Scopus Citations
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Original languageEnglish
Pages (from-to)93-103
Journal / PublicationComputer-Aided Civil and Infrastructure Engineering
Issue number2
Publication statusPublished - Feb 2006


The multimode resource-constrained projectscheduling problem (MRCPSP) considers both renewable and nonrenewable resources that have not been addressed efficiently in the construction field. This article introduces a methodology for solving the MRCPSP based on particle swarm optimization (PSO) that has not been utilized for this and other construction-related problems. The framework of the PSO-based methodology is developed. Aparticle representation formulation is proposed to represent the potential solution to the MRCPSP in terms of priority combination and mode combination for activities. Each particle-represented solution should be checked against the nonrenewable resource infeasibility and will be handled by adjusting the mode combination. The feasible particle-represented solution is transformed to a schedule through a serial generation scheme. Experimental analyses are presented to investigate the performance of the proposed methodology. © 2006 Computer-Aided Civil and Infrastructure Engineering.