Discrete manufacturing process design optimization using computer simulation and generalized hill climbing algorithms

Engineering Optimization

Volumn 31, Issue 2, 1998, Pages 247-260

  Jacobson, Sheldon H ^a   Sullivan, Kelly A ^a   Johnson, Alan W ^b  

^a State University   (United States)

^b AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Hill climbing; Manufacturing; Stochastic algorithms

Indexed keywords

EID: 0001186596     PISSN: 0305215X     EISSN: None     Source Type: Journal    
DOI: 10.1080/03052159808941372     Document Type: Article

References (12)

1. Gunasekera, J. S., Fischer, C. E., Malas, J. C., Mullins, W. M. and Yang, M. S. (1996). Development of process models for use with global optimization of a manufacturing system. Proceedings of the ASME Symposium of Modeling, Simulation and Control of Metal Processing, ASME-International Mechanical Engineering Congress, Atlanta, GA.
2. Fischer, C. E., Gunasekera, J. S. and Malas, J. C. (1997). Process model development for optimization of forged disk manufacturing processes. Steel Forgings Second Volume, ASTM STP 1257, E. G. Nisbett and A. S. Melilli, Eds., American Society for Testing and Materials.
3. Johnson, A. W. (1996). Generalized Hill Climbing Algorithms for Discrete Optimization Problems, Ph.D. Dissertation, Virginia Tech., Blacksburg, Virginia, USA.
4. Johnson, A. W. and Jacobson, S. H. (1997). A Convergence Result for a Class of Generalized Hill Climbing Algorithms, Technical Report, Virginia Tech, Blacksburg, Virginia, USA.
5. Johnson, A. W. and Jacobson, S. H. (1998). On the Convergence of Generalized Hill Climbing Algorithms, Technical Report, Virginia Tech., Blacksburg, Virginia, USA.
6. Jacobson, S. H., Sullivan, K. A. and Johnson, A. W. (1997). Generalized hill climbing algorithms for discrete manufacturing process design problems using computer simulation models. Proceedings of the 11th European Simulation Multiconference, 473-478.
7. Eglese, R. W. (1990). Simulated annealing: A tool for operational research. European Journal of Operational Research, 46, 271-281.
8. Fleischer, M. A. (1995). Simulated annealing: Past, present, and future. Proceedings of the 1995 Winter Simulation Conference, pp. 155-161.
9. Dueck, G. and Scheuer, T. (1990). Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing. Journal of Computational Physics, 90, 161-175.
10. Glover, F. (1995). Tabu Search Fundamentals and Uses, Technical Report, University of Colorado, Boulder, Colorado, USA.
11. Law, A. M. and Kelton, W. D. (1991). Simulation Modeling and Analysis, Second Edition, McGraw Hill, New York.
12. Devroye, L. (1986). Non-uniform Random Variate Generation, Springer-Verlag, New York.