How to cite this paper
Taghavi-farda, M., Javanshir, H., Roueintan, M & Soleimany, E. (2011). Multi-objective group scheduling with learning effect in the cellular manufacturing system.International Journal of Industrial Engineering Computations , 2(3), 617-630.
Refrences
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Al Jadaan, O., Rao, C. R., & Rajamani, L., (2008b). Improved selection operator GA. Journal of Theoretical and Applied Information Technology, 2, 269-277.
Biskup, D., (2008). A State-of-the-art review on scheduling with learning effects. European Journal of Operational Research, 188(2), 315-329.
Biskup, D., (1999). Single-machine scheduling with learning considerations. European Journal of Operational Research, 115, 173-178.
Chen, P., Wu, C.-C., & Lee, W.-C., (2006). A bi-Criteria two-machine flow shop scheduling Problem with a learning effect. Journal of the Operational Research Society, 57, 1113-1125.
Ghosh,T., Sengupta, S., Chattopadhyay, M. & Dan, P. K. (2011). Meta-heuristics in cellular manufacturing: A state-of-the-art review. International Journal of Industrial Engineering Computations, 2(1), 87-122.
Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T., (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In Proceedings of the Parallel Problem Solving from Nature VI Conference, 849–858.
Dejong, J. R., (1957). The effects of increasing skill on cycle time and its consequences for time
standards, Ergonomics, 1, 51-60.
Eren, T., & Guner, E., (2007). Minimizing total tardiness in a scheduling problem with a learning effect. Applied Mathematical Modelling, 31, 1351-1361.
Eren, T. (2009). A bicriteria parallel machine scheduling with a learning effect of setup and removal times. Applied Mathematical Modelling, 33, 1141–1150.
Kuo, W., & Yang, D. (2007). Single-machine scheduling with past-sequence-dependent setup times and learning effects, Information Processing Letters, 102, 22-26.
Koulamas, C., & Kyparisis, G. J., (2007). Single-Machine and two-machine flow shop scheduling with general learning function. European Journal of Operational Research, 178, 402-407.
Lee W.-C, & Wu C.-C, (2004). Minimizing total completion time in a two-machine flow shop with a learning effect. International Journal of Production Economics, 88, 85-93.
Lee, W.-C, Wu, C.-C, & Sung, H.-J, (2004). A bi-criterion single-machine scheduling problem with learning considerations. Acta Informatics, 40, 303-315.
Lee, W-C., & Wu, C.-C. (2009). A note on single-machine group scheduling problems with position-based learning effect. Applied Mathematical Modelling. 33(4), 2159-2163.
Logendran, R., Salmasi, N., & Sriskandarajah, C., (2006).Two-machine group scheduling problems in discrete parts manufacturing with sequence-dependent setups. Computers & Operations Research, 33, 158-180.
Mosheiov, G., (2001a). Scheduling problems with a learning effect. European Journal of Operational Research, 132, 687-693.
Mosheiov, G., (2001b). Parallel machine scheduling with a learning effect. Journal of the Operational Research Society, 52, 1-5.
Nanda, R., & Alder, G. L., (1982). Learning curves: theory and application, Atlanta: Industrial Engineering & Management Press.
Schaller, J.E., Gupta, J.N.D., & Vakharia, A.J., (2000). Scheduling a flow line manufacturing cell with sequence dependent family setup times. European Journal of Operational Research, 125(2), 324-339.
Wang, J., & Xia, Z., (2005). Flow-shop scheduling with a learning effect. Journal of the Operational Research Society, 56(4), 1325-1330.
Wu, C-C., & Lee, W-C., (2009). Single-machine and flow shop scheduling with a general learning effect model. Computers & Industrial Engineering, 56(4), 1553-1558.
Zegordi, S.H., Itoh, K., & Enkawa, T., (1995). A knowledge simulated annealing scheme for the early/tardy flow shop scheduling problem. International Journal of Production Research, 33(5), 1449-1466.
Zitzler, E., & Thiele, L., (1999). Multi objective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation, 4(3), 257-271.
Zitzler, E., Deb, K., & Thiele, L., (2000). Comparison of multi objective evolutionary algorithms. Evolutionary Computation journal. 8(2), 125-148.
Zhao, C.-L., Zhang, Q.-L., & Tang, H.-Y. (2004). Machine scheduling problems with learning effects. Dynamics of Continuous, discrete and Impulsive Systems, Series A: Mathematical Analysis, 11, 741-750.
Al Jadaan, O., Rao, C. R., & Rajamani, L., (2008b). Improved selection operator GA. Journal of Theoretical and Applied Information Technology, 2, 269-277.
Biskup, D., (2008). A State-of-the-art review on scheduling with learning effects. European Journal of Operational Research, 188(2), 315-329.
Biskup, D., (1999). Single-machine scheduling with learning considerations. European Journal of Operational Research, 115, 173-178.
Chen, P., Wu, C.-C., & Lee, W.-C., (2006). A bi-Criteria two-machine flow shop scheduling Problem with a learning effect. Journal of the Operational Research Society, 57, 1113-1125.
Ghosh,T., Sengupta, S., Chattopadhyay, M. & Dan, P. K. (2011). Meta-heuristics in cellular manufacturing: A state-of-the-art review. International Journal of Industrial Engineering Computations, 2(1), 87-122.
Deb, K., Agrawal, S., Pratap, A., & Meyarivan, T., (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In Proceedings of the Parallel Problem Solving from Nature VI Conference, 849–858.
Dejong, J. R., (1957). The effects of increasing skill on cycle time and its consequences for time
standards, Ergonomics, 1, 51-60.
Eren, T., & Guner, E., (2007). Minimizing total tardiness in a scheduling problem with a learning effect. Applied Mathematical Modelling, 31, 1351-1361.
Eren, T. (2009). A bicriteria parallel machine scheduling with a learning effect of setup and removal times. Applied Mathematical Modelling, 33, 1141–1150.
Kuo, W., & Yang, D. (2007). Single-machine scheduling with past-sequence-dependent setup times and learning effects, Information Processing Letters, 102, 22-26.
Koulamas, C., & Kyparisis, G. J., (2007). Single-Machine and two-machine flow shop scheduling with general learning function. European Journal of Operational Research, 178, 402-407.
Lee W.-C, & Wu C.-C, (2004). Minimizing total completion time in a two-machine flow shop with a learning effect. International Journal of Production Economics, 88, 85-93.
Lee, W.-C, Wu, C.-C, & Sung, H.-J, (2004). A bi-criterion single-machine scheduling problem with learning considerations. Acta Informatics, 40, 303-315.
Lee, W-C., & Wu, C.-C. (2009). A note on single-machine group scheduling problems with position-based learning effect. Applied Mathematical Modelling. 33(4), 2159-2163.
Logendran, R., Salmasi, N., & Sriskandarajah, C., (2006).Two-machine group scheduling problems in discrete parts manufacturing with sequence-dependent setups. Computers & Operations Research, 33, 158-180.
Mosheiov, G., (2001a). Scheduling problems with a learning effect. European Journal of Operational Research, 132, 687-693.
Mosheiov, G., (2001b). Parallel machine scheduling with a learning effect. Journal of the Operational Research Society, 52, 1-5.
Nanda, R., & Alder, G. L., (1982). Learning curves: theory and application, Atlanta: Industrial Engineering & Management Press.
Schaller, J.E., Gupta, J.N.D., & Vakharia, A.J., (2000). Scheduling a flow line manufacturing cell with sequence dependent family setup times. European Journal of Operational Research, 125(2), 324-339.
Wang, J., & Xia, Z., (2005). Flow-shop scheduling with a learning effect. Journal of the Operational Research Society, 56(4), 1325-1330.
Wu, C-C., & Lee, W-C., (2009). Single-machine and flow shop scheduling with a general learning effect model. Computers & Industrial Engineering, 56(4), 1553-1558.
Zegordi, S.H., Itoh, K., & Enkawa, T., (1995). A knowledge simulated annealing scheme for the early/tardy flow shop scheduling problem. International Journal of Production Research, 33(5), 1449-1466.
Zitzler, E., & Thiele, L., (1999). Multi objective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation, 4(3), 257-271.
Zitzler, E., Deb, K., & Thiele, L., (2000). Comparison of multi objective evolutionary algorithms. Evolutionary Computation journal. 8(2), 125-148.
Zhao, C.-L., Zhang, Q.-L., & Tang, H.-Y. (2004). Machine scheduling problems with learning effects. Dynamics of Continuous, discrete and Impulsive Systems, Series A: Mathematical Analysis, 11, 741-750.