PSO for solving RCPSP

Chinese Control and Decision Conference, 2008, CCDC 2008

Volumn , Issue , 2008, Pages 818-822

  Peng, Wuliang ^a   Wei, Yonghe ^a  

^a SHENYANG LIGONG UNIVERSITY   (China)

Author keywords

Particle swarm optimization; Project management; Resource constrained project scheduling

Indexed keywords

CONSTRAINED OPTIMIZATION; ENCODING (SYMBOLS); MATHEMATICAL TRANSFORMATIONS; MECHANISMS; STANDARDS; VECTORS;

COMPUTATIONAL EXPERIMENTS; ENCODING SCHEMES; FULL FACTORIAL; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATION ALGORITHMS; PROJECT MANAGEMENT; RESOURCE-CONSTRAINED PROJECT SCHEDULING; RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM; VECTOR SIMILARITY; VECTOR VELOCITY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 52349104552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2008.4597427     Document Type: Conference Paper

References (19)

1. M. Bartusch, RH. Möhring and FJ. Radermacher, Scheduling project networks with resource Constrains and time windows, Annals of Operations Research, vol.16, no.12, 201-240, 1988.
2. P. Brucker, A. Drexl, R. Mohring, E. Pesch, Resource-constrained project scheduling: notation, classification, models, and methods, European Journal of Operational Research, vol.112, no.2, 3-41, 1999.
3. J. Kennedy and R. Eberhart, Particle swarm optimization, in Proceedings of IEEE International Conference on Neural Networks, 1942-1948, 1995.
4. X. Ren-bin, T. Zhen-wu. "Research progress of swarm intelligence," Journal of Management Sciences in China, vol. 10, no. 3, pp. 80-96, May 2007.
5. H. Zhang, H. Li, C.M.Tam. Particle swarm optimization for resource-constrained project scheduling, International Journal of Project Management, vol.24, no.1, 83-92, 2006.
6. H. Zhang, C.M. Tarn, H. Li, "Multimode project scheduling based on particle swarm optimization," Computer-Aided Civil and Infrastructure Engineering, vol.21, no.2, 93-103, 2006.
7. H. Zhang, X. Li, H. Li, F. Huang, Particle swarm optimization-based schemes for resource-constrained project scheduling, Automation in Construction, vol.14, no.3, 393-404, 2005.
8. W. Wei, Z. Guo-j, Particle swarm optimization for resource-constrained project scheduling problem, Journal of Harbin Institute of Technology, vol.39, no.4, 669-672, 2007.
9. B. Jarboui, N. Damak, P. Siarry, A combinatorial particle swarm optimization for solving multi-mode resource-constrained project scheduling problems, vol.195, no.1, 299-308, 2007.
10. R. Kolisch, Serial and parallel resource-constrained project scheduling methods revisited: theory and computation, European Journal of Operational Research, vol.90, no.2, 320-333, 1996.
11. Y. Shi, R. Eberhart, Parameter selection in particle swarm optimization," Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, 591-600, 1988.
12. I.C Trelea, "The particle swarm optimization algorithm: convergence analysis and parameter selection," Information Processing Letters, vol. 85, no. 6, pp. 317-325, March 2003.
13. R. Kolisch, A. Sprecher, "PSPLIB-A project scheduling problem library," European Journal of the operational search, vol. 96, no. 1, pp. 205-216, January 1997.
14. J. Alcaraz, C. Maroto, A robust genetic algorithm for resource allocation in project scheduling, Annals of Operation Research, vol. 102, no. 1, 83-109, 2001.
15. S. Hartmann, A competitive genetic algorithm for resource constrained project scheduling, Naval Research Logistics, vol.45, no.7, 733-750, 1998.
16. KS. Hindi, H. Yang, K Fleszar, An evolutionary algorithm for resource-constrained project scheduling, IEEE Transactions on Evolutionary Computation, vol.6, no.5, 512-518, 2002.
17. K Bouleimen, H. Lecocq, A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version, European Journal of Operational Research, vol.149, no.2, 268-281, 2003.
18. A. Schirmer, Case-based reasoning and improved adaptive search for project scheduling, Naval Research Logistics, vol.47, no.3, 201-222, 2000.
19. K Nonobe, T. Ibaraki, Formulation and tabu search algorithm for the resource constrained project scheduling problem (RCPSP) Kyoto, Japan: Dept. Applied Mathematics and Physics, Kyoto Univ., 1999.