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A penalty approach for nonlinear optimization with discrete design variablesIntroduced here is a simple approach to minimization problems with discrete design variables by modifying the penaly function approach of converting the constrained problems into sequential unconstrained minimization technique (SUMT) problems. It was discovered, during the course of the present work, that a similar idea was suggested by Marcal and Gellatly. However, no further work has been encountered. A brief description of the SUMT is presented. The form of the penalty function for the discrete-valued design variables and strategy used for the implementation of the procedure is discussed next. Finally, several design examples are used to demonstrate the procedure, and results are compared with the ones available in the literature.
Document ID
19890015846
Document Type
Conference Paper
Authors
Shin, Dong K. (Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Gurdal, Zafer (Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Griffin, O. H., Jr. (Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Date Acquired
September 6, 2013
Publication Date
April 1, 1989
Publication Information
Publication: NASA. Langley Research Center, Recent Advances in Multidisciplinary Analysis and Optimization, Part 3
Subject Category
NUMERICAL ANALYSIS
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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