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Time constrained planning using simulated annealing

Published: 01 June 1988 Publication History
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References

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Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A learning algorithm for Boltzman machines. Cognitive Science, 9, (pp. 147-169).
[2]
Christiansen, A. D. (1985). The history of planning methodology: An annotated bibliography. SIGART Newsletter, 95, (pp. 45-47).
[3]
Fox, M. S., & Smith, S. F. (1984). ISIS: A knowledge-based system for factory scheduling. Expert Systems, 1, (pp. 25-49).
[4]
Hart, R. J., & Goehring, D J. (1986). An application of simulated annealing to scheduling of Army unit training. Technical Report 727, U.S. Army Research institute, Alexandria, VA.
[5]
Hastings, H. M. & Warner, S. (1986). Biologically activated machine intelligence. SiGART Newsletter, 95, (pp. 29-31).
[6]
Kirkpatrick, S., Gelatt, C. D.,& Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220, (pp. 671-680).
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Konotidge, K., & Nilsson, N. J. (1980). Multi-agent planning Systems. AAAI, (pp. 138-142).
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Smith, $. F. & Ow, P. S. (1985). The use of multiple problem decompositions in time constrained planning tasks. IJCAI, (pp. 1013-1015).
[9]
Van Laarhoven, P.J.M. & Aarts, E.H.L. (1987). Simulated Annealing: Theory and Applications. Norwell, MA: Kluwer Academic.

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cover image ACM Conferences
IEA/AIE '88: Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
June 1988
1189 pages
ISBN:0897912713
DOI:10.1145/55674
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Published: 01 June 1988

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