A learning reactive scheduler using CBR/L

Kodratoff, 1990, vol. III Michalski, 1994, vol. IV Carbonell, 1983, An overview of machine learning Bratko, 1993, Machine learning in artificial intelligence, Artificial Intelligence in Engineering, 8, 159, 10.1016/0954-1810(93)90002-W Huang, 1990, Reactive scheduling for a single machine: problem definition, analysis, and heuristic solution, International Journal of Computer Integrated Manufacturing, 3, 6, 10.1080/09511929008944428 Hadavi, 1992, An architecture for real-time distributed scheduling, AI Magazine (Fall), 46 Szelke, 1994, Knowledge based reactive scheduling, International Journal of Production Planning and Control, 5, 124, 10.1080/09537289408919480 Smith, 1994, Configurable systems for reactive production management, 93 Paul, 1992, An intelligent reactive monitoring and scheduling system, IEEE Control Systems, 78, 10.1109/37.165523 Sarin, 1989, A knowledge-based system approach to dynamic scheduling, 173 Sycara, 1994, Adaptive schedule repair, 107 Kerr, 1994, Interactive reactive scheduling by human learning, 397 Quinlan, 1993 Quinlan, 1979, Discovery rules by induction from a large collection of examples Kolonder, 1993 Monostori, 1992, Artificial neural networks in intelligent manufacturing, Robotics and Computer-Integrated Manufacturing, 9, 421 Grabot, 1994, A. Dupeux, Multi-heuristic scheduling: three approaches to tune compromises, Journal of Intelligent Manufacturing, 5, 303, 10.1007/BF00127648 Owen, 1994, Shop floor '94: the challenge of change, Manufacturing Engineering, 12, 33 W. Davis, A. Jones, A. Saleh, Generic architecture for intelligent control systems, Computer-Integrated Manufacturing Systems 5 105–113. Szelke, 1994, Reactive scheduling: an intelligent supervisor function, 125 Sheridan, 1987, Supervisory control Mensch, 1994, REAKT: real-time architecture for time-critical knowledge-based system, 1 Prosser, 1991, Reactive scheduling Tsang, 1993, Foundations of constraint satisfaction Minton, 1992, Minimising conflicts: a heuristic repair method for constraint satisfaction and scheduling problems, Artificial Intelligence, 58, 161, 10.1016/0004-3702(92)90007-K Sosic, 1994, Efficient local search with conflict minimisation: a case study of the n-queens problem, IEEE Transactions on Knowledge and Data Engineering, 6, 661, 10.1109/69.317698 Dechter, 1987, Network-based heuristics for constraints satisfaction problems, Artificial Intelligence, 34, 1, 10.1016/0004-3702(87)90002-6 Haralick, 1980, Increasing tree search efficiency for constraint satisfaction problems, Artificial Intelligence, 14, 263, 10.1016/0004-3702(80)90051-X Fox, 1990, Constrained heuristic search, 309 Freuder, 1982, A sufficient condition for backtrack-free search, Journal of the ACM, 29, 24, 10.1145/322290.322292 Laguna, 1993, Integrating target analysis and tabu search for improved scheduling systems, Expert Systems with Applications, 6, 287, 10.1016/0957-4174(93)90056-C Riesbeck, 1989 Szelke, 1995, A blackboard based perspective of reactive scheduling, 60 Szelke, 1995, Reactive and proactive scheduling with learning in reactive operation management, 456