On the complexity of manpower shift scheduling
暂无分享,去创建一个
[1] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[2] Alon Itai,et al. On the Complexity of Timetable and Multicommodity Flow Problems , 1976, SIAM J. Comput..
[3] Kenneth R. Baker,et al. Workforce Scheduling with Cyclic Demands and Day-Off Constraints , 1977 .
[4] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[5] James M. Tien,et al. On Manpower Scheduling Algorithms , 1982 .
[6] B. Efron,et al. The Jackknife: The Bootstrap and Other Resampling Plans. , 1983 .
[7] H. Zimmermann,et al. Decisions and evaluations by hierarchical aggregation of information , 1983 .
[8] Michael J. Showalter,et al. Simple Approaches to Shift, Days-Off and Tour Scheduling Problems , 1983 .
[9] G. Gallo,et al. A multi-level bottleneck assignment approach to the bus drivers' rostering problem , 1984 .
[10] Michael W. Carter,et al. Work Force Size and Single Shift Schedules with Variable Demands , 1985 .
[11] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[12] Paolo Toth,et al. A heuristic approach to the bus driver scheduling problem , 1986 .
[13] Fred W. Glover,et al. The general employee scheduling problem. An integration of MS and AI , 1986, Comput. Oper. Res..
[14] R. N. Burns,et al. A Modular Approach to Optimal Multiple-Shift Manpower Scheduling , 1987, Oper. Res..
[15] Maureen Caudill,et al. Neural networks primer, part III , 1988 .
[16] Bernard Widrow,et al. Adaptive switching circuits , 1988 .
[17] John P. Seagle,et al. A Knowledge-Engineered System for Commercial Loan Decisions , 1988 .
[18] M. Shaw,et al. Using an Expert System with Inductive Learning to Evaluate Business Loans , 1988 .
[19] G. J. Koop. Multiple Shift Workforce Lower Bounds , 1988 .
[20] Philip D. Wasserman,et al. Neural computing - theory and practice , 1989 .
[21] Yoh-Han Pao,et al. Adaptive pattern recognition and neural networks , 1989 .
[22] Nagraj Balakrishnan,et al. A network model for the rotating workforce scheduling problem , 1990, Networks.
[23] Kevin Knight,et al. Connectionist ideas and algorithms , 1990, CACM.
[24] Timothy Paul Cronan,et al. Production System Development for Expert Systems Using a Recursive Partitioning Induction Approach: An Application to Mortgage, Commercial, and Consumer Lending , 1991 .
[25] Maureen Caudill,et al. Neural network training tips and techniques , 1991 .
[26] Martin Davies,et al. Computer Science and Operations Research: New Developments in Their Interfaces , 1992 .
[27] Hoong Chuin Lau,et al. Roman: an Integrated Approach to manpower Planning and Scheduling , 1992, Computer Science and Operations Research.
[28] Melody Y. Kiang,et al. Managerial Applications of Neural Networks: The Case of Bank Failure Predictions , 1992 .
[29] E. Mine Cinar,et al. Neural Networks: A New Tool for Predicting Thrift Failures , 1992 .
[30] Lawrence O. Hall,et al. Decision making on creditworthiness, using a fuzzy connectionist model , 1992 .
[31] Cm Khoong. A simple but effective heuristic for workshift assignment , 1993 .
[32] Pi-Sheng Deng,et al. Automating Knowledge Acquisition and Refinement for Decision Support: A Connectionist Inductive Inference Model* , 1993 .
[33] Stephen I. Gallant,et al. Neural network learning and expert systems , 1993 .
[34] Hoong Chuin Lau. Manpower Scheduling with Shift Change Constraints , 1994, ISAAC.
[35] Hoong Chuin Lau,et al. Automated Manpower Rostering: Techniques and Experience , 1994 .
[36] B. Malakooti,et al. Feedforward artificial neural networks for solving discrete multiple criteria decision making problems , 1994 .
[37] Ramesh Sharda,et al. Bankruptcy prediction using neural networks , 1994, Decis. Support Syst..
[38] Louis W. Glorfeld. A Methodology for simplification and interpretation of backpropagation-based neural network models , 1996 .
[39] Hoong Chuin Lau,et al. COMBINATORIAL APPROACHES FOR HARD PROBLEMS IN MANPOWER SCHEDULING , 1996 .