Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27584
Title: Multimode project scheduling based on particle swarm optimization
Authors: Zhang, H
Tam, CM
Li, H 
Issue Date: 2006
Publisher: Wiley-Blackwell
Source: Computer-aided civil and infrastructure engineering, 2006, v. 21, no. 2, p. 93-103 How to cite?
Journal: Computer-aided civil and infrastructure engineering 
Abstract: 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.
URI: http://hdl.handle.net/10397/27584
ISSN: 1093-9687
EISSN: 1467-8667
DOI: 10.1111/j.1467-8667.2005.00420.x
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