Abstract
For the project progress optimization problem, an improved particle swarm optimization algorithm based on thermodynamic mechanism is introduced and applied to the research and optimization of critical chain project scheduling. Experiments prove that the thermodynamic particle swarm optimization algorithm outperforms the basic particle optimization algorithm in solving such problems. The experimental results can serve as a theoretical guidance for administrators and decision-makers in enterprises to manage project administration in an overall and accurate way, take control of the project progress and guarantee the completion of a project on time.
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© 2012 Springer-Verlag Berlin Heidelberg
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Xu, X., Hu, H., Hu, N., Ying, W. (2012). Critical Chain Project Scheduling Problem Based on the Thermodynamic Particle Swarm Optimization Algorithm. In: Lei, J., Wang, F.L., Li, M., Luo, Y. (eds) Network Computing and Information Security. NCIS 2012. Communications in Computer and Information Science, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35211-9_44
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DOI: https://doi.org/10.1007/978-3-642-35211-9_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35210-2
Online ISBN: 978-3-642-35211-9
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