Simulated annealing for discrete optimization with estimation

European Journal of Operational Research

Volumn 116, Issue 3, 1999, Pages 530-544

  Alkhamis, Talal M ^a   Ahmed, Mohamed A ^a   Tuan, Vu Kim ^a  

^a KUWAIT UNIVERSITY   (Kuwait)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; MARKOV PROCESSES; PARAMETER ESTIMATION; PROBLEM SOLVING; SIMULATED ANNEALING;

OBJECTIVE FUNCTIONS;

OPERATIONS RESEARCH;

EID: 0032634638     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(98)00112-X     Document Type: Article

References (12)

1. D. Gross, D.R. Miller, R.M. Soland, A closed queueing network model for multi-echelon repairable item provisioning, HE Transactions 15 (1983) 344-352.
2. D. Gross, D.R. Miller, Multi-echelon repairable item provisioning in a time-varying environment using the randomization technique, Naval Research Logistics Quarterly 31 (1984) 347-361.
3. S. Kirkpatrick, C.D. Gelatt Jr., M.P. Vecchi, Optimization by simulated annealing, Science 221 (1983) 671-680.
4. A.A. Bulgak, J.L. Sanders, Integrating a modified simulated annealing algorithm with the simulation of a manufacturing system to optimize buffer sizes in automatic assembly systems, in: M. Abrams, P. Haigh, J. Comfort (Eds.), Proceedings of the 1988 Winter Simulation Conference, pp. 684-690.
5. J. Haddock, J. Mittenthal, Simulation optimization using simulated annealing, Computers and Industrial Engineering 20 (4) (1992) 387-395.
6. D.G. So, K.A. Dowsland, Simulated Annealing: An Application to Simulation Optimization, Presented at OR35 Conference, University of York, September 1993.
7. M.A. Ahmed, T.M. Al Khamis, H. Merza, Optimizing discrete stochastic systems using simulated annealing and simulation, Computers and Industrial Engineering (to appear).
8. N. Roenko, Simulated Annealing under Uncertainty, Technical Report, Inst. F. Operations Research, Univ. Zurich, 1990.
9. S.B. Gelfand, S.K. Mitter, Simulated annealing with noisy or imprecise energy measurements, Journal of Optimization Theory and Applications 62 (1989) 49-62.
10. W.J. Gutjahr, G.C. Pflug, Simulated annealing for noisy cost functions, Journal of Global Optimization 8 (1996) 1-13.
11. E.H.L. Aarts, J. Korst, Simulated Annealing and Boltzmann Machines, Wiley, Chichester 1988.
12. W. Gong, Y. Ho, W. Zhai, Stochastic comparison algorithm for discrete optimization with estimation, Proceeding of the 31st Conference of Decision and Control, Toucan, Az, December 1992.