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How to cite this paper
APA: Anandaraman, C., Vikram, A., Sankar, M & Natarajan, R. (2012). Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots. International Journal of Industrial Engineering Computations, 3(4), 627-648.
Chicago/Turabian: Anandaraman, C., Vikram, A., Sankar, M & Natarajan, R. 2012. "Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots." International Journal of Industrial Engineering Computations 3, no. 4 (2012): 627-648.
AMA: Anandaraman, C., Vikram, A., Sankar, M & Natarajan, R. Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots. International Journal of Industrial Engineering Computations. 2012;3(4):627-648.
References
Abdelmaguid, T. F., Nassef, A. O., Kamal, B. A. & Hassan, M. F. (2004). A hybrid GA/heuristic approaches to the simultaneous scheduling of machines and automated guided vehicles. International Journal of Production Research, 42, 267-281.
Abdelmaguid, T. F. & Nassef, O. A. (2009).A constructive heuristic for the integrated scheduling of machines and multiple-load material handling equipment in job shops.International Journal of Advanced Manufacturing Technology, 46(9-12), 1239-1251.
Attux, E. (2003) A Paradigm for blind IIR equalization using the constant modules criterion and an artificial immune network.IEEE XIII Workshop on Neural Networks for Signal Processing, Campinas, Brazil, 839-848.
Bilge, U. & Ulusoy, G. (1995) A time window approach to simultaneous scheduling of machines and material handling system in an FMS.Operations Research, 43(6), 1058-1070.
Buzacott, J. A. & Yao, D. D. (1986). Flexible manufacturing systems: a review of analytical models.Management Science, 32(7), 890-905.
Costa, A. M., Vargas, P. A., Von Zuben, F. J. & Franca, P. M. (2002). Makespan Minimization on parallel processors: an immune based approach.Proceedings of the Special Sessions on Artificial Immune Systems, IEEE World Congress on Computational Intelligence, Honolulu, Hawaii, USA, 920-925.
Crama, Y., Kats, V., van de Klundert, J. & Levner, E. (2000).Cyclic scheduling in robotic flowshops.Annals of Operations Research, 96, 97-124.
De Castro, L. N. & Von Zuhen, F. J. (1999).Artificial Immune systems, Part I. Basic theory and applications, Technical Report, TR-DCA 01/99, 3-14.
El-Maraghy, H. A. & Ravi, T. (1992).Modern tools for the design, modeling and evaluation of flexible manufacturing systems.International Journal of Robotics and Computer-Integrated Manufacturing, 9(4), 335-340.
Engin, O. & Doyen, A. (2004).A new approach to solve hybrid flow shop scheduling problems by artificial immune system. Future Generation Computer Systems, 20, 1083-1095.
Gobal, S. L. & Kasilingam, R. G. (1991).A Simulation Model for Estimating Vehicle Requirements in Automated Guided Vehicle Systems.Computers and Industrial Engineering, 21,623-627.
Heragu, S. S. & Kusiak, A. (1988).Machine layout problem in flexible manufacturing systems.Operations Research, 36(2), 258-268.
Huang, S. (1999). Enhancement of thermal unit commitment using immune algorithms based optimization approaches.Electrical Power and Energy Systems, 21(4), 245-252.
Khoo, L. P., Lee, S. G. & Yin, X. F. (2000).A prototype genetic algorithm-enhanced multiobjective scheduler for manufacturing systems.International Journal of Advanced Manufacturing Technology, 16, 131-138.
Kats, V., & Levner, E. (1998). Cyclic Scheduling of Operations for a Part Type in an FMS Handled by a Single Robot: A Parametric Critical-Path Approach. International Journal of Flexible Manufacturing Systems, 10, 129-138.
Koichi Nara, Tomomi Takeyama & Hyunchul Kim(1999). A New Evolutionary Algorithm Based on Sheep Flocks Heredity Model and Its Application to Scheduling Problem.IEEE Transactions, VI, 503-508.
Lacomme, P., Moukrim, A. & Tchernev, N. (2005). Simultaneous job input sequencing and vehicle dispatching in a single-vehicle automated guided vehicle system: a heuristic branch-and-bound approach coupled with a discrete events simulation model.International Journal of Production Research, 43(9), 1911-1942.
Nara, K. & Kim, H. (1996).Evolutionary Computing by Multi-stage Genetic Operation and its Application to Optimal Scheduling problem.Proceedings of ALIFE V, Nara, Japan, 407-412.
Reddy, B. S. P. & Rao, C. S. P. (2006).A hybrid multi-objective GA for simultaneous scheduling of machines and AGVs in FMS. International Journal of Advanced Manufacturing Technology, 31, 602-613.
Ronald, L. & RardinRehaUzsoy (2001).Experimental Evaluation of Heuristic Optimization Algorithms, School of Industrial Engineering, Purdue University, West Lafayette, IN 47907-1287, USA.
Satish Kumar, M. V., & RangaJanardhana Rao, C. S. P. (2011) Simultaneous scheduling of machines and vehicles in an FMS environment with alternative routing.International Journal of Advanced Manufacturing Technology, 53(1-4), 339-351.
Srinivas, N. & Deb, K. (1994). Multiobjective optimization using non dominated sorting in genetic algorithms. Evolutionary Computations, 2(3), 221-248.
Stecke, K. E. (1983). Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems.Management Science, 29(3), 273-288.
Stecke, K. E. & Solberg, J. J. (1981).Loading and Control Policies for a Flexible Manufacturing System.International Journal of Production Research, 19(5), 481-490.
Udhayakumar, P., & Kumanan, S. (2010). Sequencing and scheduling of job and tool in a flexible manufacturing system using ant colony optimization algorithm.International Journal of Advanced Manufacturing Technology, 50(9-12), 1075-1084.
Ulusoy, G., Sivrikaya-Serifoglu, F. & Bilge, U. (1997). A genetic algorithm approaches to the simultaneous scheduling of machines and automated guided vehicles.Computers and Operations Research, 24(4), 335-351.
Zachariah Aspragathos, N. A. (2005). Optimal robot task scheduling based on genetic algorithms. Robotics and Computer-Integrated Manufacturing, 21, 67-79.
Zheng, H., Zhang, J. & Nahavandi, S. (2004).Learning to detect texture objects by artificial immune approaches.Future Generation Computer Systems, 20(7), 1197-1208.
Abdelmaguid, T. F. & Nassef, O. A. (2009).A constructive heuristic for the integrated scheduling of machines and multiple-load material handling equipment in job shops.International Journal of Advanced Manufacturing Technology, 46(9-12), 1239-1251.
Attux, E. (2003) A Paradigm for blind IIR equalization using the constant modules criterion and an artificial immune network.IEEE XIII Workshop on Neural Networks for Signal Processing, Campinas, Brazil, 839-848.
Bilge, U. & Ulusoy, G. (1995) A time window approach to simultaneous scheduling of machines and material handling system in an FMS.Operations Research, 43(6), 1058-1070.
Buzacott, J. A. & Yao, D. D. (1986). Flexible manufacturing systems: a review of analytical models.Management Science, 32(7), 890-905.
Costa, A. M., Vargas, P. A., Von Zuben, F. J. & Franca, P. M. (2002). Makespan Minimization on parallel processors: an immune based approach.Proceedings of the Special Sessions on Artificial Immune Systems, IEEE World Congress on Computational Intelligence, Honolulu, Hawaii, USA, 920-925.
Crama, Y., Kats, V., van de Klundert, J. & Levner, E. (2000).Cyclic scheduling in robotic flowshops.Annals of Operations Research, 96, 97-124.
De Castro, L. N. & Von Zuhen, F. J. (1999).Artificial Immune systems, Part I. Basic theory and applications, Technical Report, TR-DCA 01/99, 3-14.
El-Maraghy, H. A. & Ravi, T. (1992).Modern tools for the design, modeling and evaluation of flexible manufacturing systems.International Journal of Robotics and Computer-Integrated Manufacturing, 9(4), 335-340.
Engin, O. & Doyen, A. (2004).A new approach to solve hybrid flow shop scheduling problems by artificial immune system. Future Generation Computer Systems, 20, 1083-1095.
Gobal, S. L. & Kasilingam, R. G. (1991).A Simulation Model for Estimating Vehicle Requirements in Automated Guided Vehicle Systems.Computers and Industrial Engineering, 21,623-627.
Heragu, S. S. & Kusiak, A. (1988).Machine layout problem in flexible manufacturing systems.Operations Research, 36(2), 258-268.
Huang, S. (1999). Enhancement of thermal unit commitment using immune algorithms based optimization approaches.Electrical Power and Energy Systems, 21(4), 245-252.
Khoo, L. P., Lee, S. G. & Yin, X. F. (2000).A prototype genetic algorithm-enhanced multiobjective scheduler for manufacturing systems.International Journal of Advanced Manufacturing Technology, 16, 131-138.
Kats, V., & Levner, E. (1998). Cyclic Scheduling of Operations for a Part Type in an FMS Handled by a Single Robot: A Parametric Critical-Path Approach. International Journal of Flexible Manufacturing Systems, 10, 129-138.
Koichi Nara, Tomomi Takeyama & Hyunchul Kim(1999). A New Evolutionary Algorithm Based on Sheep Flocks Heredity Model and Its Application to Scheduling Problem.IEEE Transactions, VI, 503-508.
Lacomme, P., Moukrim, A. & Tchernev, N. (2005). Simultaneous job input sequencing and vehicle dispatching in a single-vehicle automated guided vehicle system: a heuristic branch-and-bound approach coupled with a discrete events simulation model.International Journal of Production Research, 43(9), 1911-1942.
Nara, K. & Kim, H. (1996).Evolutionary Computing by Multi-stage Genetic Operation and its Application to Optimal Scheduling problem.Proceedings of ALIFE V, Nara, Japan, 407-412.
Reddy, B. S. P. & Rao, C. S. P. (2006).A hybrid multi-objective GA for simultaneous scheduling of machines and AGVs in FMS. International Journal of Advanced Manufacturing Technology, 31, 602-613.
Ronald, L. & RardinRehaUzsoy (2001).Experimental Evaluation of Heuristic Optimization Algorithms, School of Industrial Engineering, Purdue University, West Lafayette, IN 47907-1287, USA.
Satish Kumar, M. V., & RangaJanardhana Rao, C. S. P. (2011) Simultaneous scheduling of machines and vehicles in an FMS environment with alternative routing.International Journal of Advanced Manufacturing Technology, 53(1-4), 339-351.
Srinivas, N. & Deb, K. (1994). Multiobjective optimization using non dominated sorting in genetic algorithms. Evolutionary Computations, 2(3), 221-248.
Stecke, K. E. (1983). Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems.Management Science, 29(3), 273-288.
Stecke, K. E. & Solberg, J. J. (1981).Loading and Control Policies for a Flexible Manufacturing System.International Journal of Production Research, 19(5), 481-490.
Udhayakumar, P., & Kumanan, S. (2010). Sequencing and scheduling of job and tool in a flexible manufacturing system using ant colony optimization algorithm.International Journal of Advanced Manufacturing Technology, 50(9-12), 1075-1084.
Ulusoy, G., Sivrikaya-Serifoglu, F. & Bilge, U. (1997). A genetic algorithm approaches to the simultaneous scheduling of machines and automated guided vehicles.Computers and Operations Research, 24(4), 335-351.
Zachariah Aspragathos, N. A. (2005). Optimal robot task scheduling based on genetic algorithms. Robotics and Computer-Integrated Manufacturing, 21, 67-79.
Zheng, H., Zhang, J. & Nahavandi, S. (2004).Learning to detect texture objects by artificial immune approaches.Future Generation Computer Systems, 20(7), 1197-1208.