ACM Home Page
Please provide us with feedback. Feedback
Simulated annealing: past, present, and future
Full text PdfPdf (720 KB)
Source Winter Simulation Conference archive
Proceedings of the 27th conference on Winter simulation table of contents
Arlington, Virginia, United States
Pages: 155 - 161  
Year of Publication: 1995
ISBN:0-7803-3018-8
Author
Mark Fleischer  Department of Engineering Management, Old Dominion University, Norfolk, VA
Sponsors
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 20,   Downloads (12 Months): 136,   Citation Count: 10
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/224401.224457
What is a DOI?

ABSTRACT

This paper provides an overview of the simulated annealing algorithm and describes its historical foundation in thermodynamics as well as the genesis and evolution for solving difficult optimization problems. An example illustrating its application to graph problems is provided as well as a look at ongoing, state-of-the-art research using SA.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Azencott, R. ed. 1992. Simulated annealing: parallelizalion techniques, New York, N.Y., John Wiley & Sons, Inc.
 
3
 
4
Bondy, J.A. and U.S.R. Murty. 1976. Graph theory wzth applications, New York, N.Y. North-Holland, Elsevier Science Publishing Co., Inc.
 
5
Bonomi, E. and J. Lutton, 1984. The n-city travelling salesman problem: statistical mechanics and the Metropolis algorithm, SIAM Review, VoI. 26, No.4. pp. 551-568.
 
6
 
7
C~rny, V. 1985. A thermodynamical approach to the travelling salesman problem: an efficient simulation algorithm. Journal of Optimzzatzon Theory and Application, Vol. 45, pp. 41-55.
 
8
 
9
Eglese, R.W. 1990. Simulated annealing: a tool for operational research, European Journal of Operational Research, Vol. 46, No. 3. June 15, 1990. pp. 271-281.
 
10
 
11
Fleischer, M. and S. H. Jacobson. 1994. Information theory and the simulated annealing algorithm: experimental results. Technical Report, Department of Engineering Management, Old Dominion University, Norfolk, VA.
 
12
Fleischer, M. 1995. Cybernetic optimization by simulated annealing: accelerating convergence by parallel processing and probabilistic feedback control, Technical Report. Department of Engineering Management, Old Dominion University, Norfolk, VA.
 
13
Fleischer, M. and S. H. Jacobson. 1995. Cybernetic optimization by simulated annealing: an implementation of parallel processing using probabilistic feedback control. In Metaheuristics: The State of the Art 1995 (Proceeding of the Metaheuristics International Conference 1995), ed. J. Kelly, I. Osman, Kluwer Academic Publishers, New York, N.Y. To appear.
 
14
 
15
Glover, F. 1989. Tabu search-part I. ORSA Journal on Computzng, Vol. 1, No. 3. pp. 190-206.
 
16
Glover, F. 1995. Tabu thresholding: improved search by nonmonotonic trajectories. To appear in IN- FORMS Journal on Computing.
 
17
 
18
Ingber, L. 1995. Adaptive simulated annealing: lessons learned. Journal of Control and Cybernetics. To appear.
 
19
 
20
Kirkpatrick, S., C. D. Gelatt, Jr., and M. P. Vecchi. 1983. Optimization by simulated annealing. Sczence, Vol. 220, No. 4598, May 13, 1983. pp. 671-680.
 
21
 
22
Metropolis, N., A. Rosenbluth, M. Rosenbluth, A. Teller and E. Teller. 1953. Equation of state calculations by fast computing machines. Journal of Chemical Physics, Vol. 21, pp. 1087- 1092.
 
23
Mitra, D., F. Romeo and A. Sangiovanni-Vincentelli. 1986. Convergence and finite- time behavior of simulated annealing. Advances zn Applied Probability, Vol. 18, pp. 747-771.
 
24
 
25
 
26
 
27
Yao, X. 1991. Simulated annealing with extended neighborhood. Internat,onal Journal of Computer Mathematics, Vol. 40, pp. 169-89.

CITED BY  10