[1] Demeulmeester, E. K. & Horroelen, W. S. (2002). Project Scheduling: A research Handbook, Springer.
[2] Blazewicz, J., Lenstra, J.K., and A.H.G. Rinnooy Kan, “Scheduling Subject to Resource Constraints: Classification and Complexity”, Discrete Applied Mthematics, 5(1983), PP. 11-24. Evalutionary Computation (CEC), June 5-8, New Orlens, LA, pp. 2586-2592, 2011.
[3] Bottcher, J., Drexl, A., Kolisch, R., Salewski, F. (1996). “Project Scheduling Under Partially Renewable Resource Constraints”. Technicl report 398 Manuscipte aus den Instituten fur Betriebswritschaftslehre der Universitat Kiel.
[4] Talbot, F.B (1982). “Resource-Constrined Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case”. Management Science, 38: pp. 1498-1509.
[5] Pritsker, A. B., Watters, L. J. and Wolfe, P. M., Multiproject scheduling with limited resources: A zero-one programming approach. Management Science, 1969, 16, 93-108.
[6] Demeulemeester, E. and Herroelen, W., New benchmark results for the resource-constrained project scheduling problem. Management Science, 1997, 43, 1485-1492.
[7] Brucker, P., Schoo, A. nd Thiele, O., A branch-and-bound algorithm for the resource-constrained project scheduling problem. European Journal of Operational Research, 1998, to appear.
[8] Dorndorf, U., Pesch, E., Phan-Huy, T. A branch-and-bound algorithm for the resource-constrained project scheduling problem, Mathematical Methods of Operations Research 52(2000) 413-439.
[9] Kohlmorgen, U., H. Schmeck and K. Haase (1999), Experiences with Fine-Gained Parallel Genetic Algorithms, Annals of Opertions Reseach, 90, 203-219.
[10] S. Hartmann, A competitive genetic algorithm for resource-constrained poject scheduling, Naval Research Logistics 49 (2002) 433-448.
[11] J. Alcaraz, C. Maroto, A robust genetic algorithm for resource allocation in poject scheduling, Annals of Operations Research 102 (2001) 83-109.
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www.IJSEI.com Paper ID: 67117-12
ISSN: 2251-8843
[12] S. Hartmann, A self-adapting genetic algorithm for project scheduling under resource constraints, Naval Research Logistics 49 (2002) 433-448.
[13] Y.C. Toklu, Appliction of genetic algorithm to construction scheduling with o without resouce constraints, Candian Journal of Civil Engineeing 29 (2002) 421-429.
[14] K.S. Hindi, H. Yang, K. Fleszar, An evolutionary algorithm for resource-constrained project scheduling, IEEE Transaction on Evolutionary Computation 6 (2002) 512-518.
[15] J. Coelho, L. Tavares, Comparative analysis of metaheuicstics for the resource constrained project scheduling problem, Technical, report, Depertmant of Civil Engineering, Instituto Superior Tecnico, Portugal.
[16] J. Gonclves, J. Mendes, A random key based genetic algorithm for the resource-constained poject scheduling problem. Technical report, Depatamento de Engenharia Universidade do Porto, 2003.
[17] Goncalves JF, Beirao NC. Um algoritmo genetic baseado em chaves aleatorias para sequenciamento de operacoes. Revista Associacao Portuguesa Investigacao Opeacional 1999;19:123-37 (in Portuguese).
[18] Mendes. J.J.M, Goncalves. J.F, Resende. M.G.C. A random key based genetic algorithm for the resource constrained project scheduling problem. Computers and Operations Research 36 (2009) 92-109.
[19] K. Nonobe, T. Ibaraki, Formulation and tabu search algorithm for the resource constrained project scheduling problem, in: C.C. Ribeiro, P. Hansen (Eds.), Essays and Surveys in Metaheuristics, Kluwer Academic Publishers, 2002, pp. 557-588.
[20] N. Pan, P. Wen Hsaio, K. Chen, A study of project scheduling optimization using Tabu Search algorithm, Engineering Applications of Artificial Intelligence 21 (2008) 1101-1112.
[21] V. Valls, M.S. Quintailla, F. Ballestin, Resource-constrained project scheduling: A critical reordering heuristic, European Journal of Operational Research 149 (2003) 282-301.
[22] V. Valls, F. Ballestin, M.S. Quintanilla, Justification and RCPSP: A technique that pays, European Journal of Operational Research 165 (2005) 375-386.
[23] H. Zhang, X. Li, H. Li, F. Huang,”Particle swarm optimization-based schemes for resource-constrained project scheduling “, Automation in construction 14 (2005) 393-404.
[24] R.M. Chen, C,L, Wu, C.M. Wang, Sh.T. Lo, “Using novel particle swarn optimization scheme to solve resource-constrained scheduling problem in PSPLIB “, Expert Systems with Applications, Volume 37. Issue 3, 15 March, 2010, pp. 1899-1910.
[25] A. Ahmadi-Javid, P. Hooshangi-Tabrizi, An Anarchic Society Optimization Algorithm for a Flow-Shop Scheduling Problem with Multiple Transporters between Successive Machines, Proceedings of the 2012 International Conference Industrial Engineering and Operations Management Istanbul, Turkey, July 3-6, 2012.
[26] J.Kennedy and R. Eberhart, “Particle swarn optimization”, Proceedings of the IEEE International Conference on Neural Networks (Perth, Australia) 1942-1948, 1995.
[27] Kolisch, R. and A. Sprecher (1996), PSPLIB - A project scheduling library, European Journal of Operational Research,Vol. 96, pp. 205--216.
[28] Taguchi, G., 1986. Introduction to quality engineering. White Plains: Asian Productivity Organization/UNIPUB.
[29] R. Kolisch und S. Hartmann (2006): Experimental Investigation of Heuristics for Resource-Constrained Project Scheduling: An Update, European Journal of Operational Research 174, 23-37, 2006.
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