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.
Original language | English |
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Pages (from-to) | 93-103 |
Number of pages | 11 |
Journal | Computer-Aided Civil and Infrastructure Engineering |
Volume | 21 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Feb 2006 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Computational Theory and Mathematics