Abstract
The particle swarm optimization (PSO)-based approach to resolve the resource-constrained project scheduling problem with the objective of minimizing project duration is introduced in this paper. Computational analyses are provided so as to investigate the performance of the PSO-based approach for the resource-constrained project scheduling problem. The results shows that it is feasible to apply PSO to construction schedule optimization.
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