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pp. 1796-1802 ;\n Reinitz, R.C., (1963) On the Scheduling Problem, , New Jersey: Prentice-Hall Englewood Cliffs ;\n Hack, M.H.T., (1972) Analysis of Production Schemata by Petri Nets, , Technical Report TR-94, Massachusetts Inst of Tech Cambridge Project Mac, UK ;\n Dutton, J.M., Simulation of an actual production scheduling and work flow control system (1961) International Journal of Production Research, 1 (4), pp. 21-41 ;\n Liu, M., Wu, C., (2008) Intelligent Optimization Scheduling Algorithms for Manufacturing Process and Their Applications, , Beijing: National Defense Industry Press ;\n Fox, M.S., Allen, B.P., Smith, S.F., Strohm, G.A., (1983) ISIS: A Constraint-Directed Reasoning Approach to Job Shop Scheduling, , Technical Report CMU-RI-TR-83-8, Carnegie-Mellon University, USA ;\n Brucker, P., (2004) Scheduling Algorithms (Fifth Edition), , New York: Springer-Verlag ;\n Graves, S.C., A review of production scheduling (1981) Operations Research, 29 (4), pp. 646-675 ;\n Gao, H.-M., Zeng, J.-C., (2006) Intelligent Optimization of Iron and Steel Production Scheduling and Its Applications, , Beijing: Metallurgical Industry Press ;\n Wu, Q.-D., Qiao, F., Li, L., Wang, Z.-T., (2006) Semiconductor Manufacturing System Scheduling, , Beijing: Publishing House of Electronic Industry ;\n Guo, J.-B., Yang, M.-S., (2006) Chemical Process Planning and Scheduling Optimization, , Beijing: Chemical Industry Press ;\n Hao, J.-H., Liu, M., Wu, C., Zhang, R., A job-clustering based parallel machine scheduling algorithms and its applications (2006) Computer Integrated Manufacturing Systems, 12 (12), pp. 2062-2066 ;\n Bowman, E.H., The schedule-sequencing problem (1959) Operations Research, 7 (5), pp. 621-624 ;\n Chen, J.S., Pan, J.C.H., Integer programming models for the re-entrant shop scheduling problems (2006) Engineering Optimization, 38 (5), pp. 577-592 ;\n Dobson, G., Nambimadom, R.S., The batch loading and scheduling problem (2001) Operations Research, 49 (1), pp. 52-65 ;\n Li, G.-H., Chen, C.-L., Shao, H.-H., A survey of optimal batch plants scheduling Part 1-representation framework for MILP scheduling approach (2002) Control and Instruments in Chemical Industry, 29 (5), pp. 1-6 ;\n Tang, L.X., Liu, J.Y., Rong, A.Y., Yang, Z.H., A mathematical programming model for scheduling steelmaking-continuous casting production (2000) European Journal of Operational Research, 120 (2), pp. 423-435 ;\n Jiang, Z.-B., (2004) Petri Net and Its Applications in Modeling and Control of Manufacturing System, , Beijing: China Machine Press ;\n Lin, C., (2005) Stochastic Petri Net and System Performance Evaluation, , Beijing: Tsinghua University Press ;\n Li, Z.W., Zhou, M.C., Wu, N.Q., A survey and comparison of Petri net-based deadlock prevention policies for flexible manufacturing systems (2008) IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 38 (2), pp. 173-188 ;\n Xiong, H.H., Zhou, M.C., Scheduling of semiconductor test facility via Petri nets and hybrid heuristic search (1998) IEEE Transactions on Semiconductor Manufacturing, 11 (3), pp. 384-393 ;\n Qiao, F., Li, L., Wu, Q.D., Colored Petri net based hierarchical scheduling model for semiconductor production line (2004) Proceedings of the 5th World Congress on Intelligent Control and Automation, pp. 3014-3018. , Hangzhou, China: IEEE ;\n Fang, Y.-W., Han, Z.-J., Petri nets based real-time scheduling model of steelmaking-continuous casting process (1999) Journal of Tsinghua University (Science and Technology), 39 (1), pp. 79-82 ;\n Chen, Y.L., Sun, T.H., Fu, L.C., A Petri-net based hierarchical structure for dynamic scheduler of an FMS: rescheduling and deadlock avoidance (1994) Proceedings of IEEE International Conference on Robotics and Automation, pp. 1998-2004. , San Diego, USA: IEEE ;\n Chen, Q., Luh, J.Y.S., Shen, L.Y., Complexity reduction for optimization of deterministic timed Petri-net scheduling by truncation (1994) Cybernetics and Systems, 25 (5), pp. 643-695 ;\n Wu, S.D., Wys, R.A.K., An application of discrete-event simulation to on-line control and scheduling in flexible manufacturing (1989) International Journal of Production Research, 27 (9), pp. 1603-1623 ;\n Kiran, A.S., Milton, S.L., Simulation studies in job shop scheduling I: a survey (1984) Computers and Industrial Engineering, 8 (2), pp. 87-93 ;\n Harmonosky, C.M., Simulation-based real-time scheduling: review of recent developments (1995) Proceedings of the 27th Conference on Winter Simulation, pp. 220-225. , Arlington, USA: IEEE ;\n Chan, F.T.S., Chan, H.K., Lau, H.C.W., The state of the art in simulation study on FMS scheduling: a comprehensive survey (2002) International Journal of Advanced Manufacturing Technology, 19 (11), pp. 830-849 ;\n Patel, C., Ray, W.H., Szekely, J., Computer simulation and optimal scheduling of a soaking PIT-SLABBING mill system (1976) Metallurgical and Materials Transactions B, 7 (1), pp. 119-130 ;\n Spyros, E., Frank, C., Microcomputer simulation improves production scheduling for microelectronics manufacturers (1987) Journal of Manufacturing Systems, 6 (4), pp. 267-275 ;\n Raghavan, K.V., Applications of computer aided simulation, modelling and design techniques in chemistry and industry-an overview (1985) Chemical Engineering World, 20 (6), pp. 57-60 ;\n Chen, Y., Lin, F.L., Bi, N., Multi-agent modeling and shop-scheduling of the manufacturing enterprise logistics (2006) Proceedings of IEEE International Conference on Service Operations and Logistics, and Informatics, pp. 644-648. , Shanghai, China: IEEE ;\n Gourgand, M., Grangeon, N., Norre, S., A contribution to the stochastic flow shop scheduling problem (2003) European Journal of Operational Research, 151 (2), pp. 415-433 ;\n Bertsimas, D., Gamarnik, D., Sethuraman, J., From fluid relaxations to practical algorithms for high-multiplicity job-shop scheduling: the holding cost objective (2003) Operations Research, 51 (5), pp. 798-813 ;\n Land, A.H., Doig, A.G., An automatic method of solving discrete programming problems (1960) Econometrica, 28 (3), pp. 497-520 ;\n Lomnicki, Z., A \"branch-and-bound\" algorithm for the exact solution of the three-machine scheduling problem (1965) Operational Research Quarterly, 16 (1), pp. 89-100 ;\n Townsend, W., The single machine problem with quadratic penalty function of completion times branch-and-branch solution (1978) Management Science, 24 (5), pp. 530-534 ;\n Sarom, S.C., Ahn, S., Bishop, A.B., An improved branching schene for the branch and bound procedure of scheduling n-jobs on m-parallel machines to minimize total weighted flowtime (1988) International Journal of Production Research, 26 (7), pp. 1183-1191 ;\n Lagweg, B.J., Lenstra, J.K., Rinnooy, K.A.H.G., Job-shop scheduling by implicit enumeration (1977) Management Science, 24 (4), pp. 441-450 ;\n Sterna, M., Late work minimization in a small flexible manufacturing system (2007) Computers and Industrial Engineering, 52 (2), pp. 210-228 ;\n Tang, L.X., Huang, L., Optimal and near-optimal algorithms to rolling batch scheduling for seamless steel tube production (2007) International Journal of Production Economics, 105 (2), pp. 357-371 ;\n Lin, M.H., Fu, L.C., An effective search strategy for wafer fabrication scheduling with uncertain process requirements (2001) Proceedings of IEEE International Conference on Robotics and Automation, pp. 547-552. , Seoul, Korea: IEEE ;\n Lee, H.M., Pinto, J.M., Grossmann, I.E., Park, S., Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management (1996) Industrial and Engineering Chemistry Research, 35 (5), pp. 1630-1641 ;\n T'kindt, V., Della, C.F., Esswein, C., Revisiting branch and bound search strategies for machine scheduling problems (2004) Journal of Scheduling, 7 (6), pp. 429-440 ;\n Morizawa, K., Sun, X., Nagasawa, H., Squeezing branch and bound algorithm for the machine-fixed, machining-assembly flowshop scheduling problem (2003) International Journal of Manufacturing Technology and Management, 5 (1-2), pp. 20-27 ;\n Della, C.F., Ghirardi, M., Tadei, R., n improved branch-and-bound algorithm for the two machine total completion time flow shop problem (2002) European Journal of Operational Research, 139 (2), pp. 293-301 ;\n Schaller, J., A new lower bound for the flow shop group scheduling problem (2001) Computers and Industrial Engineering, 41 (2), pp. 151-161 ;\n Cheng, J.L., Kise, H., Matsumoto, H., A branch-and-bound algorithm with fuzzy inference for a permutation flowshop scheduling problem (1997) European Journal of Operational Research, 96 (3), pp. 578-590 ;\n Hiroshi, M., Naoki, S., Hybrid branch and bound method with genetic algorithm for flexible flowshop scheduling problem (2005) International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing, 48 (1), pp. 46-52 ;\n Bellman, R., On the theory of dynamic programming (1952) Proceedings of the National Academy of Sciences of the United States of America, 38 (8), pp. 716-719 ;\n Ibaraki, T., Nakamura, Y., A dynamic programming method for single machine scheduling (1994) European Journal of Operational Research, 76 (1), pp. 72-82 ;\n Webster, S., Azizoglu, M., Dynamic programming algorithms for scheduling parallel machines with family setup times (2001) Computers and Operations Research, 28 (2), pp. 127-137 ;\n Yavuz, M., Tufekci, S., Dynamic programming solution to the batching problem in just-in-time flow-shops (2006) Computers and Industrial Engineering, 51 (3), pp. 416-432 ;\n Blazewicz, J., Pesch, E., Sterna, M., Werner, F., Revenue management in a job-shop: a dynamic programming approach (2007) Journal of Scheduling, 10 (2), pp. 87-95 ;\n Zhao, Y.-F., Tang, L.-X., Scheduling a single continuous batch processing machine to minimize makespan (2006) Acta Automatica Sinica, 32 (5), pp. 730-737 ;\n Tanrisever, F., Kutanoglu, E., Forming and scheduling jobs with capacitated containers in semiconductor manufacturing: Single machine problem (2008) Annals of Operations Research, 159 (1), pp. 5-24 ;\n Yang, J.B., GA-based discrete dynamic programming approach for scheduling in FMS environments (2001) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 31 (5), pp. 824-835 ;\n Abdul-Razaq, T.S., Potts, C.N., Dynamic programming state-space relaxation for single-machine scheduling (1988) Journal of the Operational Research Society, 39 (2), pp. 141-152 ;\n Sakawa, M., Kubota, R., Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms (2000) European Journal of Operational Research, 120 (2), pp. 393-407 ;\n Csaji, B.C., Monostori, L., Stochastic reactive production scheduling by multi-agent based asynchronous approximate dynamic programming (2005) Proceedings of the 4th International Central and Eastern European Conference on Multi-Agent Systems, pp. 388-397. , Budapest, Hungary: Springer ;\n Muckstat, J.A., Koenig, S.A., An application of Lagrangian relaxation to scheduling in power generation system (1977) Operations Research, 25 (3), pp. 387-403 ;\n Luh, P.B., Hoitomt, D.J., Scheduling of manufacturing systems using the Lagrangian relaxation technique (1993) IEEE Transactions on Automatic Control, 38 (7), pp. 1066-1079 ;\n Polak, G.G., Lagrangian relaxation for flow shop scheduling (1998) Industrial Applications of Combinatorial Optimization, 16, pp. 240-255 ;\n Meng, J.Y., Soh, Y.C., Wang, Y.Y., FMS jobshop scheduling using Lagrangian relaxation method (1995) Proceedings of IEEE International Conference on Robotics and Automation, pp. 490-495. , Nagoya, Japan: IEEE ;\n Chen, H.X., Luh, P.B., An alternative framework to Lagrangian relaxation approach for job shop scheduling (2003) European Journal of Operational Research, 149 (3), pp. 499-512 ;\n Tang, L.X., Luh, P.B., Liu, J.Y., Fang, L., Steel-making process scheduling using Lagrangian relaxation (2002) International Journal of Production Research, 40 (1), pp. 55-70 ;\n Hwang, T.K., Chang, S.C., Design of a Lagrangian relaxation-based hierarchical production scheduling environment for semiconductor wafer fabrication (2003) IEEE Transactions on Robotics and Automation, 19 (4), pp. 566-578 ;\n Luh, P.B., Zhao, X., Wang, Y.J., Thakur, L.S., Lagrangian relaxation neural networks for job shop scheduling (2000) IEEE Transactions on Robotics and Automation, 16 (1), pp. 78-88 ;\n Panwalkar, S.S., Iskander, W., A survey of scheduling rules (1977) Operations Research, 25 (1), pp. 45-61 ;\n Blackstone, J.H., Phillips, D.T., Hogg, G.L., A state-of-the-art survey of dispatching rules for manufacturing job shop operations (1982) International Journal of Production Research, 20 (1), pp. 27-45 ;\n Moore, J.M., Wilson, R.C., A review of simulation research in job shop scheduling (1967) Production and Inventory Management, 8 (1), pp. 1-10 ;\n Barman, S., Simple priority rule combinations: an approach to improve both flow time and tardiness (1997) International Journal of Production Research, 35 (10), pp. 2857-2870 ;\n Barman, S., The impact of priority rule combinations on lateness and tardiness (1998) IIE Transactions, 30 (5), pp. 495-504 ;\n Hong, T.P., Chuang, T.N., Fuzzy palmer scheduling for flow shops with more than two machines (1999) Journal of Information Science and Engineering, 15 (3), pp. 397-406 ;\n Adams, J., Balas, E., Zawack, D., The shifting bottleneck procedure for job shop scheduling (1988) Management Science, 34 (3), pp. 391-401 ;\n Solimanpura, M., Vratb, P., Shankarc, R., A heuristic to minimize makespan of cell scheduling problem (2004) International Journal of Production Economics, 88 (3), pp. 231-241 ;\n Allahverdi, A., A new heuristic for m-machine flowshop scheduling problem with bicriteria of makespan and maximum tardiness (2004) Computers and Operations Research, 31 (2), pp. 157-180 ;\n Welbank, M., (1983) A Review of Knowledge Acquisition Techniques for Expert Systems, , Technical Report, British Telecommunications Research Laboratories, Ipswich, England ;\n Robbins, J.H., (1985) PEPS: The Prototype Expert Priority Scheduler, , Technical Paper MM-1093, Society of Manufacturing Engineers, Dearbom, MI ;\n Smith, S., (1995) OPIS: A Methodology and Architecture for Reactive Scheduling, pp. 29-66. , San Francisco: Morgan Kaufman ;\n Le, P.C., (1995) Scheduling as Intelligent Control of Decision-Making and Constraint Propagation, pp. 67-98. , San Francisco: Morgan Kaufman ;\n Tang, L.X., Liu, J.Y., Rong, A.Y., Yang, Z.H., A review of planning and scheduling systems and methods for integrated steel production (2001) European Journal of Operational Research, 133 (1), pp. 1-20 ;\n Wang, X.-Y., Chai, T.-Y., Zheng, B.-L., Intelligent scheduling software and its application in steelmaking and continuous casting (2006) Computer Integrated Manufacturing Systems, 12 (8), pp. 1220-1226 ;\n Li, J.X., Li, L., Tang, L.X., Wu, H.J., A case of rule-based heuristics for scheduling hot rolling seamless steel tube production (2006) Expert Systems, 23 (3), pp. 145-158 ;\n Sun, F.-Q., Zheng, B.-L., Cui, J.-J., Wang, D.-W., Liu, X.-S., The research of production planning of integrated management in steelmaking-hot rolling (2000) Acta Automica Sinica, 26 (3), pp. 409-413 ;\n Bok, J.K., Lee, H., Chang, J.W., Park, S., Development of refinery scheduling system using mixed integer programming and expert system (2002) Korean Journal of Chemical Engineering, 19 (4), pp. 545-551 ;\n Savell, D.V., Perez, R.A., Koh, S.W., Scheduling semiconductor wafer production: an expert system implementation (1989) IEEE Expert, 4 (3), pp. 9-15 ;\n Chiu, C.C., Chang, P.C., Chiu, N.H., A case-based expert support system for due-date assignment in a wafer fabrication factory (2003) Journal of Intelligent Manufacturing, 14 (3-4), pp. 287-296 ;\n Yoon, H.J., Shen, W.M., A multiagent-based decision-making system for semiconductor wafer fabrication with hard temporal constraints (2008) IEEE Transactions on Semiconductor Manufacturing, 21 (1), pp. 83-91 ;\n Metaxiotis, K.S., Askounis, D., Psarras, J., Expert systems in production planning and scheduling: a state-of-the-art survey (2002) Journal of Intelligent Manufacturing, 13 (4), pp. 253-260 ;\n Hamada, K., Baba, T., Sato, K., Yufu, M., Hybridizing a genetic algorithm with rule-based reasoning for production planning (1995) IEEE Expert, 10 (5), pp. 60-67 ;\n Chen, J.-P., Chen, W.-M., Luo, S.-Z., Su, D.-P., Zhou, R.-Y., Pang, X.-F., Zheng, B.-L., Study on application of CBR in steelmaking and continuous casting dynamic scheduling system (2008) Metallurgical Industry Automation, 32 (2), pp. 29-33 ;\n Jain, S., Barber, K., Osterfeld, D., Expert simulation for on-line scheduling (1990) Communications of the ACM, 33 (10), pp. 54-60 ;\n Li, H., Li, Z.C., Li, L.X., Hu, B., A production rescheduling expert simulation system (2000) European Journal of Operations Research, 124 (2), pp. 283-293 ;\n Srinivasan, D., Chang, C.S., Liew, A.C., Multiobjective generation scheduling using fuzzy optimal search technique (1994) IEE Proceedings Generation, Transmission and Distribution, 141 (3), pp. 233-242 ;\n Tuma, A., Haasis, H.D., Rentz, O., A comparison of fuzzy expert systems, neural networks and neural-fuzzy approaches-controlling energy and material flows (1996) Ecological Modelling, 85 (1), pp. 93-98 ;\n Hayes-Roth, B., (1995) Agents on Stage: Advancing the State of the Art of AI, , Technical Report KSL-95-50, Knowledge Systems Laboratory, Canada ;\n Shaw, M.J., Dynamic scheduling in cellular manufacturing systems: a framework for networked decision making (1988) Journal of Manufacturing Systems, 7 (2), pp. 83-94 ;\n Shaw, M.J., Distributed planning in cellular flexible manufacturing systems (1987) Information Systems and Operational Research, 25 (1), pp. 13-24 ;\n Baker, K.R., Smith, J.C., A multiple-criterion model for machine scheduling (2003) Journal of Scheduling, 6 (1), pp. 7-16 ;\n Daouas, T., Ghedira, K., Muller, J.P., How to schedule a flow shop plant by agents (1995) Applications of Artificial Intelligence in Engineering, pp. 73-80. , Billerica: Computational Mechanics Inc ;\n Liu, J., Sycara, K.P., Exploiting problem structure for distributed constraint optimization (1995) Proceedings of the 1st International Conference on Multiagent Systems, pp. 246-253. , San Fransico, USA: AAAI ;\n Wang, S.J., Xi, L.F., Zhou, B.H., FBS-enhanced agent-based dynamic scheduling in FMS (2008) Engineering Applications of Artificial Intelligence, 21 (4), pp. 644-657 ;\n Fordyce, K., Sullivan, G.G., (1994) Logistics Management System (LMS): Integrating Decision Technologies for Dispatch Scheduling in Semiconductor Manufacturing, pp. 473-516. , San Francisco: Morgan Kaufmann ;\n Li, L., Qiao, F., Xu, X.-H., Wu, Q.-D., Research on agent-based dynamic scheduling approach for semiconductor wafer fabrication (2005) Computer Integrated Manufacturing Systems, 11 (12), pp. 1710-1717 ;\n Cowling, P.I., Ouelhadj, D., Petrovic, S., A multi-agent architecture for dynamic scheduling of steel hot rolling (2003) Journal of Intelligent Manufacturing, 14 (5), pp. 457-470 ;\n Heragu, S.S., Graves, R.J., Kim, B., Onge, A.S., Intelligent agent based framework for manufacturing systems control (2002) IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 32 (5), pp. 560-573 ;\n Shen, W.M., Wang, L.H., Hao, Q., Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey (2006) IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 36 (4), pp. 563-577 ;\n Shen, W.M., Lang, S., Korba, L., Wang, L.H., Wong, B., Reference architecture for internet-based intelligent shop floors (2000) Proceedings of the SPIE International Conference on Network Intelligence: Internet Based Manufacturing, pp. 63-72. , Boston, USA: Springer ;\n Zarandi, M.H.F., Ahmadpour, P., Fuzzy agent-based expert system for steel making process (2009) Expert Systems with Applications, 36 (5), pp. 9539-9547 ;\n Eberts, R., Habibi, S., Neural network-based agents for integrating information for production systems (1995) International Journal of Production Economics, 38 (1), pp. 73-84 ;\n Wang, Y.C., Usher, J.M., A reinforcement learning approach for developing routing policies in multi-agent production scheduling (2007) International Journal of Advanced Manufacturing Technology, 33 (3-4), pp. 323-333 ;\n Shen, W.M., Distributed manufacturing scheduling using intelligent agents (2002) IEEE Intelligent Systems, 17 (1), pp. 88-94 ;\n Tsang, E., (1995) Foundations of Constraint Satisfaction, , London: Academic Press ;\n Waltz, D., (1972) Generating Semantic Descriptions from Drawings of Scenes with Shadows, , Technical Report AITR-271, Massachusetts Institute of Technology, USA ;\n Montanari, U., Networks of constraints: fundamental properties and applications to picture processing (1974) Information Science, 7, pp. 95-132 ;\n Mackworth, A.K., Consistency in network of relations (1977) Artificial Intelligence, 8 (1), pp. 99-118 ;\n Brailsford, S.C., Potts, C.N., Smith, B.M., Constraint satisfaction problems: algorithms and applications (1999) European Journal of Operational Research, 119 (3), pp. 557-581 ;\n Mark, S.F., Constraint-directed search: a case study of job-shop scheduling (1983), [Ph. D. dissertation], Robotics Institute, Carnegie-Mellon University, USA ;\n Carlier, J., Pinson, E., An algorithm for solving the job shop problem (1989) Management Science, 35 (2), pp. 164-176 ;\n Néron, E., Baptiste, P., Gupta, J.N.D., Solving hybrid flow shop problem using energetic reasoning and global operations (2001) Omega, 29 (6), pp. 501-511 ;\n Suh, M.S., Lee, A., Lee, Y.J., Ko, Y.K., Evaluation of ordering strategies for constraint satisfaction reactive scheduling (1998) Decision Support Systems, 22 (2), pp. 187-197 ;\n Nuijten, W.P.M., Aarts, E.H.L., Constraint satisfaction for multiple capacitated job shop scheduling (1994) Proceedings of the 1st European Conference on Artificial Intelligence, pp. 635-639. , New York, USA: Wiley ;\n Beck, H., (1992) Constraint Monitoring in TOSCA, , Technical Report SS-92-01, Artificial Intelligence Applications Institute, UK ;\n Baptiste, P., Claude, L.P., Wim, N., (2001) Constraint-Based Scheduling-Applying Constraint Programming to Scheduling Problems, , Norwell: Kluwer Academic Publishers ;\n Nuijten, W.P.M., Aarts, E.H.L., A computational study of constraint satisfaction for multiple capacitated job shop scheduling (1996) European Journal of Operational Research, 90 (2), pp. 269-284 ;\n Su, Y.Y., Mitsuo, G., Advanced scheduling problem using constraint programming techniques in SCM environment (2002) Computers and Industrial Engineering, 43 (1-2), pp. 213-229 ;\n Yang, S.-X., Wang, D.-W., Using constraint satisfaction adaptive neural network and efficient heuristics for job shop scheduling (1999) Information and Control, 28 (2), pp. 121-126 ;\n Zadeh, L.A., Fuzzy logic, neural networks and soft computing (1994) Communications of the ACM, 37 (3), pp. 77-84 ;\n Jang, J.S.R., Sun, C.T., Mizutani, E., (1997) Neuro-Fuzzy and Soft Computing, , New York: Pretice Hall ;\n Holland, J.H., (1975) Adaptation in Natural and Artificial Systems, , Ann Arbor: University of Michigan Press ;\n Davis, L., Job-shop scheduling with genetic algorithms (1985) Proceedings of the 1st International Conference on Genetic Algorithms, pp. 136-140. , Hillsdale, USA: Lawrence Erlbaum ;\n Liu, M., Wu, C., Genetic algorithms for the optimal common due date assignment and the optimal scheduling policy in parallel machine earliness/tardiness scheduling problems (2006) Robotics and Computer-Integrated Manufacturing, 22 (4), pp. 279-287 ;\n Liu, M., Wu, C., Application of evolutionary programming method in parallel machine scheduling problem of minimizing the number of tardy jobs (1999) Acta Electronic Sinica, 27 (7), pp. 132-134 ;\n Liu, M., Wu, C., Dai, Y.-S., Genetic algorithm method based on knowledge for minimizing the number of tardy jobs in identical parallel machine scheduling problem (1999) Acta Electronic Sinica, 27 (9), pp. 130-132 ;\n Liu, M., Wu, C., Yang, Y.-J., Genetic algorithm method based on combinatorial rules in identical parallel machine scheduling problem (2000) Acta Electronic Sinica, 28 (5), pp. 52-54 ;\n Yin, W.-J., Liu, M., Wu, C., A new genetic algorithm for parallel machine scheduling with process constraint (2001) Acta Electronic Sinica, 29 (11), pp. 1482-1485 ;\n Liu, M., Wu, C., Hybrid genetic algorithm method for identical parallel machine earliness/tardiness scheduling problem (2000) Acta Automatic Sinica, 26 (2), pp. 258-262 ;\n Liu, M., Wu, C., Yin, W.-J., Solving identical parallel machine production line scheduling problem with special procedure constraint by genetic algorithm (2001) Acta Automatic Sinica, 27 (3), pp. 381-386 ;\n Cleveland, G.A., Smith, S.F., Using genetic algorithms to schedule flow shop releases (1989) Proceedings of the 3rd International Conference on Genetic Algorithms and Their Applications, pp. 160-169. , San Francisco, USA: Morgan Kaufmann Publishers ;\n Starkweather, T., Whitley, D., Cookson, B., A genetic algorithm for scheduling with resource consumption (1993) Proceedings of the Joint German/US Conference on Operations Research in Production Planning and Control, pp. 567-583. , Berlin, German: Springer ;\n Rossi, A., Dini, G., Dynamic scheduling of FMS using a real-time genetic algorithm (2000) International Journal of Production Research, 38 (1), pp. 1-20 ;\n Chen, J.S., Pan, J.C.H., Lin, C.M., A hybrid genetic algorithm for the re-entrant flow-shop scheduling problem (2008) Expert Systems with Applications, 34 (1), pp. 570-577 ;\n Liu, M., Wu, C., Genetic algorithm using sequence rule chain for multi-objective optimization in re-entrant micro-electronic production line (2004) Robotics and Computer-Integrated Manufacturing, 20 (3), pp. 225-236 ;\n Cheng, R., Gen, M., Tsujimura, Y., A tutorial survey of job-shop scheduling problems using genetic algorithms-I: representation (1996) Computers and Industrial Engineering, 30 (4), pp. 983-997 ;\n Cheng, R., Gen, M., Tsujimura, Y., A tutorial survey of job-shop scheduling problems using genetic algorithms-II: hybrid genetic search strategies (1999) Computers and Industrial Engineering, 36 (2), pp. 343-364 ;\n He, Y.H., Hui, C.W., Genetic algorithm based on heuristic rules for high-constrained large-size single-stage multi-product scheduling with parallel units (2007) Chemical Engineering and Processing, 46 (11), pp. 1175-1191 ;\n Cui, X.X., Li, M., Fang, T.J., Study of population diversity of multi objective evolutionary algorithm based on immune and entropy principles (2001) Proceedings of the IEEE Congress on Evolutionary Computation, pp. 1316-1321. , Seoul, South Korea: IEEE ;\n Ghoshray, S., Job shop scheduling problem revisited: an efficient unification of genetic algorithm with simulated annealing (1996) Intelligent Engineering Systems through Artificial Neural Networks, 6, pp. 411-416 ;\n Khoo, L.P., Loi, M.Y., A tabu-enhanced genetic algorithm approach to agile manufacturing (2002) International Journal of Advanced Manufacturing Technology, 20 (9), pp. 692-700 ;\n Tammy, H., Yao, X.Q., Carlos, R.L., Albert, J., Yuehwern, Y., Integration of neural networks and genetic algorithms for an intelligent manufacturing controller (1995) Computers and Industrial Engineering, 29 (1-4), pp. 211-215 ;\n Lee, C.Y., Piramuthu, S., Tsai, Y.K., Job shop scheduling with a genetic algorithm and machine learning (1997) International Journal of Production Research, 35 (4), pp. 1171-1191 ;\n Fayad, C., Petrovic, S., A fuzzy genetic algorithm for real-world job shop scheduling (2005) Proceedings of the 18th International Conference on Innovations in Applied Artificial Intelligence, pp. 524-533. , London, UK: Springer ;\n Yin, W.-J., Investigations on evolutionary computation for scheduling problems in uncertain manufacturing environments (2004), [Ph. D. dissertation], Tsinghua University, China ;\n Colorni, A., Dorigo, M., Maniezzo, V., Distributed optimization by ant colonies (1991) Proceedings of the 1st European Conference on Artificial Life, pp. 134-142. , Paris, France: Elsevier ;\n Colorni, A., Dorigo, M., Maniezzo, V., Ant system for job shop scheduling (1994) Belgian Journal of Operations Research Statistics and Computer Science, 34 (1), pp. 39-54 ;\n Merkle, D., Middendorf, M., Ant colony optimization with global pheromone evaluation for scheduling a single machine (2003) Applied Intelligence, 18 (1), pp. 105-111 ;\n Arnaout, J.P., Musa, R., Rabadi, G., Ant colony optimization algorithm to parallel machine scheduling problem with setups (2008) Proceedings of the 4th IEEE Conference on Automation Science and Engineering (CASE), pp. 578-582. , Washington D. C., USA: IEEE ;\n Shyu, S.J., Lin, B.M.T., Yin, P.Y., Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time (2004) Computers and Industrial Engineering, 47 (2-3), pp. 181-193 ;\n Heinonen, J., Pettersson, F., Hybrid ant colony optimization and visibility studies applied to a job-shop scheduling problem (2007) Applied Mathematics and Computation, 187 (2), pp. 989-998 ;\n Kumar, R., Tiwari, M.K., Shankar, R., Scheduling of flexible manufacturing systems: an ant colony optimization approach (2003) Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 217 (10), pp. 1443-1453 ;\n Sun, X.Y., Sun, L.Y., Ant colony optimization algorithms for scheduling the mixed model assembly lines (2005) Proceedings of the 1st International Conference on Advances in Natural Computation, pp. 911-914. , Changsha, China: Springer ;\n Song, Y., Zhang, M.T., Yi, J., Zhang, L., Zheng, L., Bottleneck station scheduling in semiconductor assembly and test manufacturing using ant colony optimization (2007) IEEE Transactions on Automation Science and Engineering, 4 (4), pp. 569-578 ;\n Ferretti, I., Zanoni, S., Zavanella, L., Production-inventory scheduling using ant system metaheuristic (2006) International Journal of Production Economics, 104 (2), pp. 317-326 ;\n Wang, D.-W., Wang, J.-W., Wang, H.-F., Zhang, R.-Y., Guo, Z., (2007) Intelligent Optimization Methods, , Beijing: Higher Education Press ;\n Rajendran, C., Ziegler, H., Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs (2004) European Journal of Operational Research, 155 (2), pp. 426-438 ;\n Blum, C., Beam-ACO: hybridizing ant colony optimization with beam search: an application to open shop scheduling (2005) Computers and Operations Research, 32 (6), pp. 1565-1591 ;\n Huang, K.L., Liao, C.J., Ant colony optimization combined with taboo search for the job shop scheduling problem (2008) Computers and Operations Research, 35 (4), pp. 1030-1046 ;\n Kennedy, J., Eberhart, R.C., Particle swarm optimization (1995) Proceedings of IEEE International Conference on Neural Networks, pp. 1942-1948. , Perth, Australia: IEEE ;\n Tasgetiren, M.F., Sevkli, M., Liang, Y.C., Gencyilmaz, G., Particle swarm optimization algorithm for permutation flowshop sequencing problem (2004) Proceedings of International Workshop on Ant Colony Optimization and Swarm Intelligence, pp. 382-389. , Berlin, Germany: Springer ;\n Jerald, J., Asokan, P., Prabaharan, G., Saravanan, R., Scheduling optimisation of flexible manufacturing systems using particle swarm optimization algorithm (2005) International Journal of Advanced Manufacturing Technology, 25 (9-10), pp. 964-971 ;\n Wang, L., Liu, B., (2008) Particle Swarm Optimization and Scheduling Algorithms, , Beijing: Tsinghua University Press ;\n Rahimi-Vahed, A.R., Mirghorbani, S.M., Rabbani, M., A new particle swarm algorithm for a multi-objective mixed-model assembly line sequencing problem (2007) Soft Computing-A Fusion of Foundations, Methodologies and Applications, 11 (10), pp. 997-1012 ;\n Kang, Q., Xiao, H., Wang, L., Wu, Q.D., A swarm-dynamic scheduling method for semiconductor assembly production line (2008) Proceedings of IEEE International Conference on Automation Science and Engineering, pp. 91-96. , Washington D. C., USA: IEEE ;\n Chen, A.I., Yang, G.K., Wu, Z.M., Production scheduling optimization algorithm for the hot rolling processes (2008) International Journal of Production Research, 46 (7), pp. 1955-1973 ;\n Sha, D.Y., Hsu, C.Y., A hybrid particle swarm optimization for job shop scheduling problem (2006) Computers and Industrial Engineering, 51 (4), pp. 791-808 ;\n Lian, Z.G., Gu, X.S., Jiao, B., A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan (2006) Applied Mathematics and Computation, 175 (1), pp. 773-785 ;\n Ge, H.W., Sun, L., Liang, Y.C., Qian, F., An effective PSO and AIS-based hybrid intelligent algorithm for job-shop scheduling (2008) IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 38 (2), pp. 358-368 ;\n Xia, W.J., Wu, Z.M., A hybrid particle swarm optimization approach for the job-shop scheduling problem (2006) International Journal of Advanced Manufacturing Technology, 29 (3-4), pp. 360-366 ;\n Allahverdi, A., Al-Anzi, F.S., A PSO and a tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application (2006) Computers and Operations Research, 33 (4), pp. 1056-1080 ;\n Salhi, A., Rodriguez, J.A.V., Zhang, Q.F., An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem (2007) Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, pp. 570-576. , London, UK: ACM ;\n Niu, Q., Gu, X.S., An improved DNA evolutionary algorithm for job shop scheduling (2006) Proceedings of the 6th World Congress on Intelligent Control and Automation, pp. 6694-6698. , Washington D. C., USA: IEEE ;\n Kirkpatrick, S., Gelatt, C.D.J., Vecchi, M.P., Optimization by simulated annealing (1983) Science, 220 (4598), pp. 671-680 ;\n Brandimarte, P., Contemo, R., Laface, P., FMS production scheduling by simulated annealing (1987) Proceedings of the 3rd International Conference on Simulation in Manufacturing, pp. 235-245. , Torino, Italy: Springer ;\n Ben-Daya, M., AI-Fawzan, M., A simulated annealing approach for the one-machine mean tardiness scheduling problem (1996) European Journal of Operational Research, 93 (1), pp. 61-67 ;\n Lo, Z.P., Bavarian, B., Optimization of job scheduling on parallel machines by simulated annealing algorithms (1992) Expert Systems with Applications, 4 (3), pp. 323-328 ;\n Krishna, K., Ganeshan, K., Ram, D.J., Distributed simulated annealing algorithms for job shop scheduling (1995) IEEE Transactions on Systems, Man, and Cybernetics, 25 (7), pp. 1102-1109 ;\n Zegordi, S.H., Itoh, K., Enkawa, T., A knowledgeable simulated annealing scheme for the early/tardy flow shop scheduling problem (1995) International Journal of Production Research, 33 (5), pp. 1449-1466 ;\n Zhang, R., Wu, C., A simulated annealing algorithm based on bottleneck jobs for the open shop scheduling problem (2008) Proceedings of the 7th World Congress on Intelligent Control and Automation, pp. 4453-4457. , Washington D. C., USA: IEEE ;\n Hasan, M., Alkhamis, T., Simulated annealing procedure for scheduling competing tasks in flexible manufacturing (1997) Production Planning and Control, 8 (4), pp. 356-362 ;\n Chou, F.D., Wang, H.M., Chang, P.C., A simulated annealing approach with probability matrix for semiconductor dynamic scheduling problem (2008) Expert Systems with Applications, 35 (4), pp. 1889-1898 ;\n Huegler, P.A., Vasko, F.J., Metaheuristics for meltshop scheduling in the steel industry (2007) Journal of the Operational Research Society, 58 (6), pp. 791-796 ;\n Ponnambalam, S.G., Jawahar, N., Aravindan, P., A simulated annealing algorithm for job shop scheduling (1999) Production Planning and Control, 10 (8), pp. 767-777 ;\n Veronique, B., Ferland, J.A., Improving simulated annealing with variable neighborhood search to solve the resource-constrained scheduling problem (2007) Journal of Scheduling, 10 (6), pp. 375-386 ;\n van Laarhoven, P.J.M., Aarts, E.H., (1987) Simulated Annealing: Theory and Application, , Dordrect: Springer ;\n Szu, H., Fast simulated annealing (1987) Proceedings of the Neural Networks for Computing, pp. 420-425. , Snowbird, USA: American Institute of Physics ;\n Adenso-Diaz, B., SA/TS mixture algorithm for the scheduling tardiness problem (1996) European Journal of Operational Research, 88 (3), pp. 516-524 ;\n Kolonko, M., Some new results on simulated annealing applied to the job shop scheduling problem (1999) European Journal of Operational Research, 113 (1), pp. 123-136 ;\n Glover, F., Future paths for integer programming and links to artificial intelligence (1986) Computers and Operations Research, 13 (5), pp. 533-549 ;\n Laguna, M., Wesley, B.J., Glover, F.W., Tabu search methods for a single machine scheduling problem (1991) Journal of Intelligent Manufacturing, 2 (2), pp. 63-73 ;\n Al-Turki, U., Fedjki, C., Andijani, A., Tabu search for a class of single-machine scheduling problems (2001) Computers and Operations Research, 28 (12), pp. 1223-1230 ;\n Bilge, U., Kirac, F., Kurtulan, M., Pekgun, P., A tabu search algorithm for parallel machine total tardiness problem (2004) Computers and Operations Research, 31 (3), pp. 397-414 ;\n Nowicki, E., Smutnicki, C., The flow shop with parallel machines: a tabu search approach (1998) European Journal of Operational Research, 106 (2-3), pp. 226-253 ;\n Pezzella, F., Merelli, E., A tabu search method guided by shifting bottleneck for the job shop scheduling problem (2000) European Journal of Operational Research, 120 (2), pp. 297-310 ;\n Liaw, C.F., A tabu search algorithm for the open shop scheduling problem (1999) Computers and Operations Research, 26 (2), pp. 109-126 ;\n Swarnkar, R., Tiwari, M.K., Modeling machine loading problem of FMSs and its solution methodology using a hybrid tabu search and simulated annealing-based heuristic approach (2004) Robotics and Computer-Integrated Manufacturing, 20 (3), pp. 199-209 ;\n Sha, D.Y., Liu, C.Y., Decision making for shop floor control integration strategies in wafer fabrication using tabu search-based methodology (2005) International Journal of Manufacturing Technology and Management, 7 (1), pp. 83-103 ;\n Wang, X.P., Tang, L.X., Integration of batching and scheduling for hot rolling production in the steel industry (2008) International Journal of Advanced Manufacturing Technology, 36 (5-6), pp. 431-441 ;\n Tucci, M., Rinaldi, R., From theory to application: tabu search in textile production scheduling (1999) Production Planning and Control, 10 (4), pp. 365-374 ;\n Liu, M., Dong, M.Y., Wu, C., An iterative layered tabu search algorithm for complex job shop scheduling problem (2005) Chinese Journal of Electronics, 14 (3), pp. 519-523 ;\n Dell, A.M., Trubian, M., Applying tabu search to the job shop scheduling problem (1993) Annals of Operations Research, 41 (1-4), pp. 231-252 ;\n Nowicki, E., Smutnicki, C., A fast taboo search algorithm for the job shop problem (1996) Management Science, 42 (6), pp. 797-813 ;\n Sun, Y.-K., Liu, M., Wu, C., Tabu search algorithm with varying neighborhood and its application to job shop scheduling problem (2001) Acta Electronica Sinica, 29 (5), pp. 622-625 ;\n Balas, E., Vazacopoulos, A., Guided local search with shifting bottleneck for job shop scheduling (1998) Management Science, 44 (2), pp. 262-275 ;\n Geyik, F., Cedimoglu, I.H., The strategies and parameters of tabu search for job-shop scheduling (2004) Journal of Intelligent Manufacturing, 15 (4), pp. 439-448 ;\n Tailard, E.D., Parallel taboo search techniques for the job shop scheduling (1994) ORSA Journal on Computing, 6 (2), pp. 108-117 ;\n Barnes, J.W., Laguna, M., A tabu search experience in production scheduling (1993) Annals of Operations Research, 41 (1-4), pp. 141-156 ;\n Lee, H.T., Chen, S.H., Kang, H.Y., Multicriteria scheduling using fuzzy theory and tabu search (2002) International Journal of Production Research, 40 (5), pp. 1221-1234 ;\n Rajan, C.C.A., Mohan, M.R., Manivannan, K., Neural-based tabu search method for solving unit commitment problem (2003) IEE Proceedings Generation, Transmission, and Distribution, 150 (4), pp. 469-474 ;\n Akyol, D.E., Bayhan, G.M., A review on evolution of production scheduling with neural networks (2007) Computers and Industrial Engineering, 53 (1), pp. 95-122 ;\n Aiyer, S.V.B., Niranjan, M., Fallside, F., A theoretical investigation into the performance of the Hopfield model (1990) IEEE Transactions on Neural Networks, 1 (2), pp. 204-215 ;\n Lai, W.K., Coghill, G.G., Genetic breeding of control parameters for the Hopfield/Tank neural net (1992) Proceedings of IEEE International Joint Conference on Neural Networks, pp. 618-623. , Baltimore, USA: IEEE ;\n Akiyama, Y., Yamashita, A., Kajiura, M., Aiso, H., Combinatorial optimization with Gaussian machines (1989) Proceedings of IEEE International Joint Conference on Neural Networks, pp. 533-540. , Washington D. C., USA: IEEE ;\n Arizono, I., Yamamoto, A., Ohta, H., Scheduling for minimizing total actual flow time by neural networks (1992) International Journal of Production Research, 30 (3), pp. 503-511 ;\n Peterson, C., Anderson, J.R., A mean field theory learning algorithm for neural networks (1987) Complex Systems, 1 (5), pp. 995-1019 ;\n Akyol, D.E., Bayhan, G.M., A review on evolution of production scheduling with neural networks (2007) Computers and Industrial Engineering, 53 (1), pp. 95-122 ;\n Fang, L., Li, T., Design of competition-based neural networks for combinatorial optimization (1990) International Journal of Neural Systems, 1 (3), pp. 221-235 ;\n Chen, R.M., Huang, Y.M., Competitive neural network to solve scheduling problems (2001) Neurocomputing, 37 (1-4), pp. 177-196 ;\n Min, H.S., Yih, Y., Selection of dispatching rules on multiple dispatching decision points in real-time scheduling of a semi-conductor wafer fabrication system (2003) International Journal of Production Research, 41 (16), pp. 3921-3941 ;\n Chen, Z.L., Powell, W.B., A column generation based decomposition algorithm for a parallel machine just in time scheduling problem (1999) European Journal of Operational Research, 116 (1), pp. 220-232 ;\n Singer, M., Decomposition methods for large job shops (2001) Computers and Operations Research, 28 (3), pp. 193-207 ;\n Zuo, Y., Gu, H.-Y., Xi, Y.-G., Bottleneck-based decomposition algorithm for large-scale flow shop scheduling problems (2006) Control and Decision, 21 (4), pp. 425-429 ;\n Hsieh, B.W., Chen, C.H., Chang, S.C., Scheduling semiconductor wafer fabrication by using ordinal optimization based simulation (2001) IEEE Transactions on Robotics and Automation, 17 (5), pp. 599-608 ;\n Lin, S.Y., Horng, S.C., Application of an ordinal optimization algorithm to the wafer testing process (2006) IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 36 (6), pp. 1229-1234 ;\n Liu, M., (2008) Technological Report of the National Key Basic Research Program (National 973 Program) Project \"Research on the Real-Time Intelligent Optimization Scheduling Theories and Algorithms for the Complex Manufacturing Process\", , Tsinghua University ;\n Liu, M., Hao, J.H., Wu, C., A prediction based iterative decomposition algorithm for scheduling large-scale job shops (2008) Mathematical and Computer Modelling, 47 (3-4), pp. 411-421 ;\n Hao, J.-H., Decomposition based scheduling algorithm for large-scale manufacturing process and their applications (2007), [Ph. D. dissertation], Tsinghua University, China ;\n Liu, M., Dong, M.-Y., Wu, C., (2008) A Predictive Control Method of Machine Group Workload Based on Fluid Model, , China Patent 101334637, December ;\n Rabenasolo, B., Zeng, X.Y., Happiette, M., Analysis of the temporal decomposition procedure for scheduling with release and due dates (1998) European Journal of Operational Research, 109 (3), pp. 599-619 ;\n Gradisar, D., Music, G., Automated Petri-net modelling based on production management data (2007) Mathematical and Computer Modelling of Dynamic Systems, 13 (3), pp. 267-290 ;\n Gradisar, D., Music, G., Production-process modelling based on production-management data: a Petri-net approach (2007) International Journal of Computer Integrated Manufacturing, 20 (8), pp. 794-810 ;\n Sun, Y.-P., Liu, M., Wu, C., Intelligent prediction algorithm of trim beam number in colored textile manufacturing process (2005) Control Engineering of China, 12 (6), pp. 523-526 ;\n Dong, M.-Y., Liu, M., Wu, C., ANFIS-based method for the prediction of trim-beam number in colored-textile manufacturing process scheduling problem (2007) Control Engineering of China, 14 (3), pp. 270-273 ;\n Li, P., Liu, M., Wu, C., An intelligent prediction algorithm based on feature extraction methods (2007) Control and Decision, 22 (12), pp. 1377-1380 ;\n Wang, W.P., Ze, C., A neuro-fuzzy based forecasting approach for rush order control applications (2008) Expert Systems with Applications, 35 (1-2), pp. 223-234 ;\n Xu, Y., Study of applying network plan in manufacture scheduling system (2007), [Master dissertation], China Academy of Machinery Science and Technology, China ;\n Liu, M., Shao, M.W., Zhang, W.X., Wu, C., Reduction method for concept lattices based on rough set theory and its application (2007) Computers and Mathematics with Applications, 53 (9), pp. 1390-1410 ;\n Liu, M., Chen, D.G., Wu, C., Li, H.X., Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems (2006) Computers and Mathematics with Applications, 51 (9-10), pp. 1571-1584 ;\n Chen, C.C., Yih, Y., Identifying attributes for knowledge-based development in dynamic scheduling environments (1996) International Journal of Production Research, 34 (6), pp. 1739-1755 ;\n Dong, M.-Y., Liu, M., Wu, C., An ANFIS based adaptive algorithm for job shop scheduling problem with parallel machines (2005) Control Engineering of China, 12 (3), pp. 203-206 ;\n Youssef, H., Brigitte, M., Noureddine, Z., A genetic algorithm and data mining to resolve a job shop schedule (2001) Proceedings of the 8th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 727-728. , Antibes-Juan les Pins, France: IEEE ;\n Harrath, Y., Chebel-Morello, B., Zerhouni, N., A genetic algorithm and data mining based meta-heuristic for job shop scheduling problem (2002) Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, pp. 280-285. , Hammamet, Tunisia: IEEE ;\n Koonce, D.A., Tsai, S.C., Using data mining to find patterns in genetic algorithm solutions to a job shop schedule (2000) Computers and Industrial Engineering, 38 (3), pp. 361-374 ;\n Weckman, G.R., Ganduri, C.V., Koonce, D.A., A neural network job-shop scheduler (2008) Journal of Intelligent Manufacturing, 19 (2), pp. 191-201 ;\n Li, X.N., Application of data mining in scheduling of single machine system (2006), [Ph. D. dissertation], Iowa State University, USA ;\n Fang, Y., Shao, S.-H., Geng, Z.-F., A study on compound-agent and its application to the enterprise management information system (2001), [Ph. D. dissertation], Donghua University, China ;\n Chiu, C., A learning-based methodology for dynamic scheduling in distributed manufacturing systems (1994), [Ph. D. dissertation], Purdue University, USA ;\n Kim, C.O., Min, H.S., Yih, Y., Integration of inductive learning and neural networks for multi-objective FMS scheduling (1998) International Journal of Production Research, 36 (9), pp. 2497-2509 ;\n Shiue, Y.R., Su, C.T., Attribute selection for neural network-based adaptive scheduling systems in flexible manufacturing systems (2002) International Journal of Advanced Manufacturing Technology, 20 (7), pp. 532-544 ;\n Sun, Y.L., Yih, Y., An intelligent controller for manufacturing cells (1996) International Journal of Production Research, 34 (8), pp. 2353-2374 ;\n Priore, P., de la Fuente, D., Puente, J., Parreno, J., A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems (2006) Engineering Applications of Artificial Intelligence, 19 (3), pp. 247-255 ;\n Lee, K.K., Fuzzy rule generation for adaptive scheduling in a dynamic manufacturing environment (2008) Applied Soft Computing, 8 (4), pp. 1295-1304 ;\n Nakasuka, S., Yoshida, T., Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool (1992) International Journal of Production Research, 30 (2), pp. 411-431 ;\n Chen, C.C., Yih, Y., Wu, Y.C., Auto-bias selection for developing learning-based scheduling systems (1999) International Journal of Production Research, 37 (9), pp. 1987-2002 ;\n Li, D.C., Wu, C.S., Tsai, T.I., Chang, F.M., Using megafuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge (2006) Computers and Operations Research, 33 (6), pp. 1857-1869 ;\n Li, D.C., Wu, C.S., Tsai, T.I., Lina, Y.S., Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge (2007) Computers and Operations Research, 34 (4), pp. 966-982 ;\n O'kane, J.F., A knowledge-based system for reactive scheduling decision-making in FMS (2000) Journal of Intelligent Manufacturing, 11 (5), pp. 461-474 ;\n Priore, P., de la Fuente, D., Gomez, A., Puente, J., A review of machine learning in dynamic scheduling of flexible manufacturing systems (2001) Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 15 (3), pp. 251-263 ;\n Murata, T., Sugimoto, T., Tsujimura, Y., Gen, M., Ishibuchi, H., Rule conversion in knowledge acquisition for flowshop scheduling problems (2001) Proceedings of the Joint 9th IFSA World Congress and the 20th NAFIPS International Conference, pp. 2417-2421. , Vancouver, Canada: IEEE ;\n Guo, Q.-Q., Li, Q.-Q., Rules discovery of production scheduling based on variable precision rough set (2005) Journal of Shandong University (Engineering Science), 35 (2), pp. 61-65 ;\n Ishii, N., Muraki, M., A process-variability-based online scheduling system in multiproduct batch process (1996) Computers and Chemical Engineering, 20 (2), pp. 217-234 ;\n Liu, M., (2009) Technological Report of the National High-Tech Program (National 863 Program) Project \"Research on Multi-shop Coordination Based Intelligent Dynamic Scheduling System\", , Tsinghua University", "hasCitationDuplums" : false, "userChangeableUntil" : "2020-05-12T10:09:29.442+0000", "directInstitutesForSort" : "", "ownerAuthorCount" : 2, "ownerInstituteCount" : 11, "directInstituteCount" : 0, "authorCount" : 1, "contributorCount" : 0, "hasQualityFactor" : false, "link" : "/api/publication/31172428", "label" : "Liu M.. 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