Aggoun, A. and Beldiceanu, N. (1993). Extending CHIP in order to solve complex scheduling and placement problems. Mathematical and Computer Modelling, 17: 57-73.
Applegate, D. and Cook, W. (1991). A computational study of the job-shop scheduling instance. ORSA Journal on Computing, 3: 149-156.
Beck, J. C., Davenport, A. J., Davis, E. D., and Fox, M. S. (1998). The ODO project: toward a unified basis for constraint-directed scheduling. Journal of Scheduling, 1(2): 89-125.
Beck, J. C., A. J. Davenport, and M. S. Fox. (1997). Five pitfalls of empirical scheduling research. In Proceedings of Principles and Practice of Constraint Programming, pages 390-404.
Burke, P. and Prosser, P. (1994). The distributed asynchronous scheduler. In M. Zweben and M. Fox (eds.), Intelligent Scheduling. Morgan Kaufmann Publishers, San Francisco, chap. 11, pp. 309-339.
Carlier, J. and Pinson, E. (1989). An algorithm for solving the job-shop problem. Management Science, 35(2): 164-176.
Caseau, Y. and Laburthe, F. (1995). Improving branch and bound for jobshop scheduling with constraint propagation. In Proceedings of the 8th Franco-Japanese Conference CCS'95.
Caseau, Y. and Laburthe, F. (1996). Cumulative scheduling with task intervals. In Proceedings of the Joint International Conference and Symposium on Logic Programming.
Cesta, A. and Oddi, A. (1996). Gaining efficiency and flexibility in the simple temporal problem. In L. Chittaro, S. Goodwin, H. Hamilton, and A. Montanari (eds.), Proceedings of the Third International Workshop on Temporal Representation and Reasoning (TIME-96). Los Alamitos, CA.
Collinot, A. and Le Pape, C. (1987). Controlling constraint propagation. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence.
Dechter, R., Meiri, I., and Pearl, J. (1991). Temporal constraint networks. Artificial Intelligence, 49: 61-95.
Dorndorf, U. and Pesch, E. (1995). Evolution based learning in a job shop scheduling environment. Computers and Operations Research, 22(1): 25-40.
Erschler, J., Roubellat, F., and Vernhes, J. P. (1976). Finding some essential characteristics of the feasible solutions for a scheduling problem. Operations Research, 24: 772-782.
Erschler, J., Roubellat, F., and Vernhes, J. P. (1980). Characterising the set of feasible sequences for n jobs to be carried out on a single machine. European Journal of Operational Research, 4: 189-194.
Ford, Jr., L. R. (1956). Network flow theory. Technical report, Rand Corporation.
Fox, M. S. (1983). Constraint-directed search: a case study of job-shop scheduling. Ph.D. thesis, Carnegie Mellon University, Intelligent Systems Laboratory, The Robotics Institute, Pittsburgh, PA. CMU-RI-TR-85-7.
Fox, M. S. (1990). Constraint-guided scheduling-a short history of research at CMU. Computers in Industry, 14: 79-88.
Garey, M. R., and Johnson, D. S. (1979). Computers and Intractability: A Guide to the Theory of NPCompleteness. W.H. Freeman and Company, New York.
Glover, F. (1989).Tabu search part I. Operations Research Society of America (ORSA) Journal on Computing, 1(3): 109-206.
Glover, F. (1990). Tabu search part II. Operations Research Society of America (ORSA) Journal on Computing, 2(1): 4-32.
Hooker, J. N. (1994). Needed: an empirical science of algorithms. Operations Research, 42: 201-212.
Kowalski, R. (1979). Algorithm D logic C control. Communications of the ACM, 22(7): 424-436.
Laarhoven, P. J. M., Aarts, E. H. L. and Lenstra, J. K. (1992). Job shop scheduling by simulated annealing. Operations Research, 40(1): 113-125.
Latombe, J. (1979). Failure processing in a system for designing complex assemblies. In Proceedings of the Sixth International Joint Conference on Artificial Intelligence.
Le Pape, C. (1988). Des syst`emes d'ordonnancement flexibles et opportunistes. Ph.D. thesis, University Paris XI.
Le Pape, C. (1994a). Constraint-based programming for scheduling: An historical perspective. In Working Papers of the Operations Research Seminar on Constraint Handling Techniques.
Le Pape, C. (1994b). Using a constraint-based scheduling library to solve a specific scheduling problem. In Proceedings of the AAAI-SIGMAN Workshop on Artificial Intelligence Approaches to Modelling and Scheduling Manufacturing Processes.
Le Pape, C. and Baptiste, P. (1996). Constraint propagation techniques for disjunctive scheduling: the preemptive case. In Proceedings of ECAI-96.
Le Pape, C. and Baptiste, P. (1997a). A constraint programming library for preemptive and non-preemptive scheduling. In Proceedings of the Third International Conference and Exhibition on the Practical Application of Constraint Technology, London, United Kingdom, 1997.
Le Pape, C. and Baptiste, P. (1997b). An experimental comparison of constraint-based algorithms for the preemptive job shop scheduling problem. In CP97 Workshop on Industrial Constraint-Directed Scheduling.
Little, J., Murty, K., Sweeney, D., and Karel, C. (1963). An algorithm for the traveling salesman problem. Operations Research, 11(6): 972-989.
Miyashita, K., and Sycara, K. (1995). CABINS:Aframework of knowledge acquisition and iterative revision for schedule improvement and reactive repair. Artificial Intelligence Journal, 76(1-2): 377-426.
Neiman, D. E., Hildum, D. W., Lesser, V. R., and Sandholm, T. W. (1994). Exploiting meta-level information in a distributed scheduling system. In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), volume 1, pages 394-400.
Nowicki, E. and Smutnicki, C. (1996). A fast taboo search algorithm for the job shop problem. Management Science, 42(6): 797-813.
Nuijten,W. and Le Pape, C. (1998). Constraint-based job shop scheduling with ILOG scheduler. Journal of Heuristics, 3: 271-286.
Nuijten, W. P. M. (1994). Time and resource constrained scheduling: a constraint satisfaction approach. Ph.D. thesis, Department of Mathematics and Computing Science, Eindhoven University of Technology.
Sadeh, N. (1991). Lookahead techniques for micro-opportunistic job-shop scheduling. Ph.D. thesis, Carnegie-Mellon University. CMU-CS-91-102.
Sadeh, N., and Fox, M. S. (1989). Focus of attention in an activity-based scheduler. In Proceedings of the NASA Conference on Space Telerobotics.
Smith, S.F., Ow, P., Matthys, D., and Potvin, J. (1989). OPIS: An opportunistic factory scheduling system. In Proceedings of International Symposium for Computer Scientists.
Stallman, R. and Sussman, G. (1977). Forward reasoning and dependency-directed backtracking in a system for computer-aided circuit analysis. Artificial Intelligence, 9: 135-196.
Steele Jr., G. L. (1980). The definition and implementation of a computer programming language based on constraints. Ph.D. thesis, Massachusetts Institute of Technology.
Van Hentenryck, P. (1989). Constraint Satisfaction in Logic Programming. MIT Press.
Zweben, M., Daun, B., Davis, E., and Deale, M. (1994). Scheduling and rescheduling with iterative repair. In M. Zweben and M. S. Fox (eds.), Intelligent Scheduling. Morgan Kaufmann Publishers, San Francisco, chap. 8, pp. 241-256.
Zweben, M., Davis, E., Daun, B., and Deale, M. (1993). Informedness vs. computational cost of heuristics in iterative repair scheduling. In Proceedings of IJCAI-93, pages 1416-1422.