Abstract
In this paper a meta heuristic Particle Swarm Optimization (PSO)-based approach for the solution of the resource-constrained project scheduling problem with the purpose of minimizing project time has been developed. In order to evaluate the performance of the PSO based approach for the resource-constrained project scheduling problem, computational analyses are given. As per the results the application of PSO to project scheduling is achievable.
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Bakshi, T., Sinharay, A., Sarkar, B., Sanyal, S.K. (2013). A New Meta-Heuristic PSO Algorithm for Resource Constraint Project Scheduling Problem. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 202. Springer, India. https://doi.org/10.1007/978-81-322-1041-2_33
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DOI: https://doi.org/10.1007/978-81-322-1041-2_33
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