Document Type
Article
Publication Date
1999
Publication Title
Computer Assisted Mechanics and Engineering Sciences
Volume
6
Issue
3
Pages
469-477
Abstract
Generalized exponential penalty functions are constructed for the multiplier methods in solving nonlinear programming problems. The non-smooth extreme constraint Gext is replaced by a single smooth constraint Gs by using the generalized exponential function (base a>1). The well-known K.S. function is found to be a special case of our proposed formulation. Parallel processing for Golden block line search algorithm is then summarized, which can also be integrated into our formulation. Both small and large-scale nonlinear programming problems (up to 2000 variables and 2000 nonlinear constraints) have been solved to validate the proposed algorithms.
Rights
© 1999 The Authors.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Original Publication Citation
Nguyen, D. T., Tang, W. H., Tung, Y. K., & Runesha, H. B. (1999). Nonlinear constrained optimizer and parallel processing for golden block line search. Computer Assisted Mechanics and Engineering Sciences, 6(3), 469-477. https://cames.ippt.gov.pl/index.php/cames/article/view/1308
Repository Citation
Nguyen, Duc T.; Tang, Wilson H.; Tung, Yeou K.; and Runesha, Hakizumwami B., "Nonlinear Constrained Optimizer and Parallel Processing for Golden Block Line Search" (1999). Civil & Environmental Engineering Faculty Publications. 135.
https://digitalcommons.odu.edu/cee_fac_pubs/135