An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time

References

• Brandimarte, P. 1993. “Routing and Scheduling in a Flexible Job Shop by Tabu Search, Ann.” Operations Research 41 (3): 157–183.
   Google Scholar
• Brucker, P., and R. Schlie. 1990. “Scheduling-probleme in Jop-shops Mit Mehrzweckmaschinen.” Computing 45 (4): 369–375.10.1007/BF02238804
   Web of Science ®Google Scholar
• Demir, Y., and S. K. İşleyen. 2014. “An Effective Genetic Algorithm for Flexible Job Shop Scheduling with Overlapping in Operations.” International Journal of Production Research 52 (13): 3905–3921.10.1080/00207543.2014.889328
   Web of Science ®Google Scholar
• Gao, J., L. Y. Sun, and M. Gen. 2008. “A Hybrid Genetic and Variable Neighborhood Descent Algorithm for Flexible Job Shop Scheduling Problems.” Computers & Operations Research 35 (9): 2892–2907.10.1016/j.cor.2007.01.001
   Web of Science ®Google Scholar
• Gao, K. Z., Q. K. Pan, and J. Q. Li. 2011. “Discrete Harmony Search Algorithm for the No-wait Flow Shop Scheduling Problem with Total Flow Time Criterion.” The International Journal of Advanced Manufacturing Technology 56 (5–8): 683–692.10.1007/s00170-011-3197-6
   Web of Science ®Google Scholar
• Gao, K. Z., Q. K. Pan, J. Q. Li, and J. J. Liang. 2012. “A Hybrid Harmony Search Algorithm for the No-wait Flow Shop Scheduling Problems.” Asia-Pacific Journal of Operational Research 29 (2): 1–23. 1250012.
   Web of Science ®Google Scholar
• Gao, K. Z., P. N. Suganthan, Q. K. Pan, T. J. Chua, T. X. Cai, and C. S. Chong. 2014a. “Discrete Harmony Search Algorithm for Flexible Job Shop Scheduling Problem with Multiple Objectives.” Journal of Intelligent Manufacturing. http://link.springer.com/article/10.1007/s10845-014-0869-8.
   Google Scholar
• Gao, K. Z., P. N. Suganthan, Q. K. Pan, T. J. Chua, T. X. Cai, and C. S. Chong. 2014b. “Pareto-based Grouping Discrete Harmony Search Algorithm for Multi-objective Flexible Job Shop Scheduling.” Information Sciences 289: 76–90. http://www.sciencedirect.com/science/article/pii/S002002551400748810.1016/j.ins.2014.07.039.
   Web of Science ®Google Scholar
• Geem, Z. W. 2006. “Optimal Cost Design of Water Distribution Networks Using Harmony Search.” Engineering Optimization 38 (3): 259–277.10.1080/03052150500467430
   Web of Science ®Google Scholar
• Geem, Z. W., J. H. Kim, and G. V. Loganathan. 2001. “A New Heuristic Optimization Algorithm: Harmony Search.” Simulation 76 (2): 60–68.10.1177/003754970107600201
   Google Scholar
• Jiang, Z. Q., L. Zuo, and E. M. C. 2014. “Study on Multi-objective Flexible Job Shop Scheduling Problem Considering Energy Consumption.” Journal of Industrial Engineering and Management 7 (3): 589–604.
   Google Scholar
• Karthikeyan, S., P. Asokan, and S. Nickolas. 2014. “A Hybrid Discrete Firefly Algorithm for Multi-objective Flexible Job Shop Scheduling Problem with Limited Resource Constraints.” The International Journal of Advanced Manufacturing Technology 72 (9–12): 1567–1579.10.1007/s00170-014-5753-3
   Web of Science ®Google Scholar
• Kim, J. H., Z. W. Geem, and E. S. Kim. 2001. “Parameter Estimation of the Nonlinear Muskingum Model Using Harmony Search.” Journal of the American Water Resources Association 37 (5): 1131–1138.10.1111/jawr.2001.37.issue-5
   Web of Science ®Google Scholar
• Lee, K. S., and Z. W. Geem. 2005. “A New Meta-heuristic Algorithm for Continuous Engineering Optimization, Harmony Search Theory and Practice.” Computer Methods in Applied Mechanics and Engineering 194 (36–38): 3902–3933.10.1016/j.cma.2004.09.007
   Web of Science ®Google Scholar
• Lei, D. M. 2010a. “A Genetic Algorithm for Flexible Job Shop Scheduling with Fuzzy Processing Time.” International Journal of Production Research 48 (10): 2995–3013.10.1080/00207540902814348
   Web of Science ®Google Scholar
• Lei, D. M. 2010b. “Fuzzy Job Shop Scheduling Problem with Availability Constraints.” Computers & Industrial Engineering 58 (4): 610–617.10.1016/j.cie.2010.01.002
   Web of Science ®Google Scholar
• Lei, D. M. 2012. “Co-evolutionary Genetic Algorithm for Fuzzy Flexible Job Shop Scheduling.” Applied Soft Computing 12 (8): 2237–2245.10.1016/j.asoc.2012.03.025
   Web of Science ®Google Scholar
• Li, J. Q., and Q. K. Pan. 2012. “Chemical-reaction Optimization for Flexible Job-shop Scheduling Problems with Maintenance Activity.” Applied Soft Computing 12 (9): 2896–2912.10.1016/j.asoc.2012.04.012
   Web of Science ®Google Scholar
• Li, J. Q., Q. K. Pan, and K. Z. Gao. 2011. “Pareto-based Discrete Artificial Bee Colony Algorithm for Multi-objective Flexible Job Shop Scheduling Problems.” The International Journal of Advanced Manufacturing Technology 55 (9–12): 1159–1169.10.1007/s00170-010-3140-2
   Web of Science ®Google Scholar
• Mahdavi, M., M. Fesanghary, and E. Damangir. 2007. “An Improved Harmony Search Algorithm for Solving Optimization Problems.” Applied Mathematics and Computation 188 (2): 1567–1579.10.1016/j.amc.2006.11.033
   Web of Science ®Google Scholar
• Omran, M. G. H., and M. Mahdavi. 2008. “Global-best Harmony Search.” Applied Mathematics and Computation 198 (2): 643–656.10.1016/j.amc.2007.09.004
   Web of Science ®Google Scholar
• Pan, Q. K., P. N. Suganthan, M. F. Tasgetiren, and J. J. Liang. 2010. “A Self-adaptive Global Best Harmony Search Algorithm for Continuous Optimization Problems.” Applied Mathematics and Computation 216 (3): 830–848.10.1016/j.amc.2010.01.088
   Web of Science ®Google Scholar
• Pan, Q. K., P. N. Suganthan, J. J. Liang, and M. F. Tasgetiren. 2011. “A Local-best Harmony Search Algorithm with Dynamic Sub-harmony Memories for Lot-streaming Flow Shop Scheduling Problem.” Expert Systems with Applications 38 (4): 3252–3259.10.1016/j.eswa.2010.08.111
   Web of Science ®Google Scholar
• Pezzella, F., G. Morganti, and G. Ciaschetti. 2008. “A Genetic Algorithm for the Flexible Job-shop Scheduling Problem.” Computers & Operations Research 35 (10): 3202–3212.
   Web of Science ®Google Scholar
• Rossi, A. 2014. “Flexible Job Shop Scheduling with Sequence-dependent Setup and Transportation times by Ant Colony with Reinforced Pheromone Relationships.” International Journal of Production Economics 153 (7): 253–267.10.1016/j.ijpe.2014.03.006
   Web of Science ®Google Scholar
• Tasgetiren, M. F., O. Bulut, and M. M. Fadiloglu. 2012. “A Discrete Harmony Search Algorithm for the Economic Lot Scheduling Problem with Power of Two Policy.” Proceeding of 2012 IEEE Congress on Evolutionary Computation (CEC) 1–8. doi:10.1109/CEC.2012.6256592.10.1109/CEC.2012.6256592
   Google Scholar
• Wang, S. J., and J. B. Yu. 2010. “An Effective Heuristic for Flexible Job Shop Scheduling Problem with Maintenance Activities.” Computers & Industrial Engineering 59 (3): 436–447.10.1016/j.cie.2010.05.016
   Web of Science ®Google Scholar
• Wang, L., Q. K. Pan, and M. F. Tasgetiren. 2010. “Minimizing the Total Flow Time in a Flow Shop with Blocking by Using Hybrid Harmony Search Algorithms.” Expert Systems with Applications 37 (12): 7929–7936.10.1016/j.eswa.2010.04.042
   Web of Science ®Google Scholar
• Wang, L., G. Zhou, Y. Xu, and M. Liu. 2013. “A Hybrid Artificial Bee Colony Algorithm for the Fuzzy Flexible Job Shop Scheduling Problem.” International Journal of Production Research 51 (12): 3593–3608.10.1080/00207543.2012.754549
   Web of Science ®Google Scholar
• Wang, S. Y., L. Wang, Y. Xu, and M. Liu. 2013. “An Effective Estimation of Distribution Algorithm for the Flexible Job Shop Scheduling Problem with Fuzzy Processing Time.” International Journal of Production Research 51 (12): 3778–3793.10.1080/00207543.2013.765077
   Web of Science ®Google Scholar
• Xia, W. J., and Z. M. Wu. 2005. “An Effective Hybrid Optimization Approach for Multi-objective Flexible Job-shop Scheduling Problems.” Computers & Industrial Engineering 48 (2): 409–425.10.1016/j.cie.2005.01.018
   Web of Science ®Google Scholar
• Xing, L. N., Y. W. Chen, P. Wang, Q. S. Zhao, and J. Xiong. 2010. “A Knowledge-based Ant Colony Optimization for Flexible Job Shop Scheduling Problems.” Applied Soft Computing 10 (3): 888–896.10.1016/j.asoc.2009.10.006
   Web of Science ®Google Scholar
• Yazdani, M., M. Amiri, and M. Zandieh. 2010. “Flexible Job-shop Scheduling with Parallel Variable Neighborhood Search Algorithm.” Expert Systems with Applications 37 (1): 678–687.10.1016/j.eswa.2009.06.007
   Web of Science ®Google Scholar
• Yuan, Y., and Hua Xu. 2013. “A Hybrid Harmony Search Algorithm for the Flexible Job Shop Scheduling Problem.” Applied Soft Computing 13 (7): 3259–3272.10.1016/j.asoc.2013.02.013
   Web of Science ®Google Scholar
• Zhang, G. H., X. Y. Shao, P. G. Li, and L. Gao. 2009. “An Effective Hybrid Particle Swarm Optimization Algorithm for Multi-objective Flexible Job-shop Scheduling Problem.” Computers & Industrial Engineering 56 (4): 1309–1318.10.1016/j.cie.2008.07.021
   Web of Science ®Google Scholar