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Issue No.02 - March/April (2010 vol.25)
pp: 60-73
Andreas Beer , Graz University of Technology
Johannes Gärtner , Vienna University of Technology
Nysret Musliu , Vienna University of Technology
Werner Schafhauser , Vienna University of Technology
Wolfgang Slany , Graz University of Technology
ABSTRACT
<p>This break-scheduling system, which is included in Operating Hours Assistant 3.6, helps professional planners create high-quality shift plans, while satisfying labor rules and staffing requirements.</p>
INDEX TERMS
artificial intelligence, break-scheduling system, supervisory personnel, metaheuristic optimization, minimum-conflicts heuristic, constraint satisfaction, Operating Hours Assistant 3.6, Ximes, human-centered computing
CITATION
Andreas Beer, Johannes Gärtner, Nysret Musliu, Werner Schafhauser, Wolfgang Slany, "An AI-Based Break-Scheduling System for Supervisory Personnel", IEEE Intelligent Systems, vol.25, no. 2, pp. 60-73, March/April 2010, doi:10.1109/MIS.2010.40
REFERENCES
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2. S. Minton et al., "Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems," Artificial Intelligence, vol. 58, nos. 1–3, 1992, pp. 161–205.
3. F. Glover and M. Laguna, Tabu Search, Kluwer Academic Publishers, 1997.
4. S. Kirkpatrick, C.D. Gelatt Jr., and M.P. Vecchi, "Optimization by Simulated Annealing," Science, vol. 220, no. 4598, 1983, pp. 671–680.
5. R. Dechter, I. Meiri, and J. Pearl, "Temporal Constraint Networks," Artificial Intelligence, vol. 49, nos. 1–3, 1991, pp. 61–95.
6. C.H. Papadimitriou and K. Steiglitz, Combinatorial Optimization: Algorithms and Complexity, Prentice Hall, 1982.
7. B. Selman, H. Kautz, and B. Cohen, "Local Search Strategies for Satisfiability Testing," Proc. 2nd DIMACS Implementation Challenge Cliques, Coloring, and Satisfiability, Am. Mathematical Soc., 1993, pp. 521–532.
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