Procedures for feasibility detection in the presence of multiple constraints

Proceedings - Winter Simulation Conference

Volumn 2005, Issue , 2005, Pages 692-698

  Batur, Demet ^a   Kim, Seong Hee ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; CONSTRAINT THEORY; LINEAR ALGEBRA; RANDOM PROCESSES; RELIABILITY;

BONFERRONI INEQUALITY; SIMULATED SYSTEMS; STOCHASTIC CONSTRAINTS;

COMPUTER SYSTEMS;

EID: 33846694124     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2005.1574310     Document Type: Conference Paper

References (4)

1. Andradóttir, S., D. Goldsman, and S.-H. Kim. 2005. Fully sequential procedures for comparing constrained systems via simulation. To appear in Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.
2. Batur, D. and S.-H. Kim. 2005. Finding a set of feasible systems when the number of systems or constraints is large. Working paper, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
3. Butler, J., D. J. Morrice, and P. W. Mullarkey. 2001. A multiple attribute utility theory approach to ranking and selection. Management Science, 47:800-816.
4. Santner, T. J., and A. C. Tamhane. 1984. Designing experiments for selecting a normal population with a large mean and a small variance. In Design of Experiments - Ranking and Selection: Essays in Honor of Robert E. Bechhofer, ed. T. J. Santner and A. C. Tamhane, 179-198. New York: Marcel-Dekker.