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Using ACCESSIBILITY to assess the performance of generalized hill climbing algorithms

Published: 01 December 1998 Publication History
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References

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Anily, S., and A. Federgruen. 1987. Simulated annealing methods with general acceptance probabilities. Journal of Applied Probability. 24: 657-667.
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Dueck, G. and T. Scheuer. 1990. Threshold accepting: a general purpose optimization algorithm appearing superior to simulated annealing. European Journal of Operational Research. 46:271-281.
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Garey, M.R. and D.S. Johnson. 1979. Computers and Intractability: A Guide to the Theory of NP- Completeness. San Fransisco: Freeman and Company.
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Glover, F. and M. Laguna. 1997. Tabu Search. Norwell: Kluwer Academic Publishing.
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Hajek, B. 1988. Cooling schedules for optimal annealing. Mathematics of Operations Research. 13:311-329.
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Jacobson, S.H. and E. Yticesan. 1998a. On the complexity of verifying structural properties of discrete event simulation models. Forthcoming in Operations Research.
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Jacobson, S.H. and E. Yticesan. 1998b. On the effectiveness of discrete optimization heuristics," Working Paper. INSEAD. Fontainebleau, France.
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Johnson, A.W. and S.H. Jacobson. 1997. A convergence result for a class of generalized hill climbing algorithms," Technical Report, Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA.
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Johnson, A.W., and S.H. Jacobson. 1998. On the convergence of Generalized Hill Climbing Algorithms. Technical Report, Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA.
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Mitra, D., F. Romeo, and A.L. Sangiovanni-Vincentelli. 1986. Convergence and finite-time behavior of simulated annealing. Advances in Applied Probability. 18:747-771.
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Pritsker, A.A.B. 1995. Introduction to Simulation and SLAM H. 4th Edition. W. Lafayette, IN: Systems Publishing Company.
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Schruben, L.W. 1995. Graphical Simulation Modeling and Analysis: Using SIGMA for Windows. Boyd and Fraser Publishing Company: The Scientific Press Series, Danvers, Massachusetts.
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Schruben, L., and E. Yticesan. 1993. Modeling paradigms for discrete event simulation. Operations Research Letters. 13: 265-275.
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Schuur, P.C. 1997. Classification of acceptance criteria for the simulated annealing algorithm. Mathematics of Operations Research. 22: 266-275.
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Shedler, G.L. 1987. Regeneration and Networks of Queues. New York: Springer-Verlag.
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Yao, X. 1995. A new simulated annealing algorithm. International Journal of Computer Mathematics. 56: 161-168.
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Yao, X., and G. Li. 1991. General simulated annealing. Journal of Computer Science and Technology. 6: 329- 338.
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Yticesan, E. and S.H. Jacobson. 1992. Building correct simulation models is difficult. In Proceedings of the 1992 Winter Simulation Conference. 783-790.
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Yticesan, E. and S.H. Jacobson. 1996. Intractable structural issues in discrete events simulation: special cases and heuristic approaches. ACM Transactions on Modeling and Computer Simulation. 6: 53-75.

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cover image ACM Conferences
WSC '98: Proceedings of the 30th conference on Winter simulation
December 1998
1766 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 December 1998

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WSC98
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  • IIE
  • IEEE-SMCS
  • INFORMS/CS
  • ASA
  • ACM
  • SCS
  • SIGSIM
  • IEEE-CS
  • NIST
WSC98: Winter Simulation Conference 1998
December 13 - 16, 1998
D.C., Washington, USA

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WSC '98 Paper Acceptance Rate 164 of 216 submissions, 76%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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