Techniques employed for nonlinear design optimization with discrete variables are studied in the context of a particular problem arising from the design of a gear train. The mathematical model formulation was presented in an earlier article. In this sequel, a solution derivation is described, patterned as a multistage process. After certain reformulation and relaxation, a variety of infeasibility and non-optimality tests are performed, greatly reducing the size of the space containing the global optimum. Methods used to investigate the remaining space do not guarantee a global optimum, but could be replaced by more costly methods that do provide such guarantees. A global infimum is generated, bounding any improvements on the best known solution.
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September 1995
Research Papers
Infeasibility and Non-Optimality Tests for Solution Space Reduction in Discrete Optimal Design
L. P. Pomrehn,
L. P. Pomrehn
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109
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P. Y. Papalambros
P. Y. Papalambros
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109
Search for other works by this author on:
L. P. Pomrehn
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109
P. Y. Papalambros
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109
J. Mech. Des. Sep 1995, 117(3): 425-432 (8 pages)
Published Online: September 1, 1995
Article history
Received:
June 1, 1994
Revised:
March 1, 1995
Online:
December 11, 2007
Citation
Pomrehn, L. P., and Papalambros, P. Y. (September 1, 1995). "Infeasibility and Non-Optimality Tests for Solution Space Reduction in Discrete Optimal Design." ASME. J. Mech. Des. September 1995; 117(3): 425–432. https://doi.org/10.1115/1.2826696
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