摘要
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.
| 原文 | English |
|---|---|
| 頁（從 - 到） | 469-477 |
| 頁數 | 9 |
| 期刊 | Computer Assisted Mechanics and Engineering Sciences |
| 卷 | 6 |
| 發行號 | 3 |
| 出版狀態 | Published - 1 十二月 1999 |
| 事件 | 8th International Conference on Numerical Mathematics and Computational Mechanics (NMCM98) - Miskolc, Hung 持續時間: 24 八月 1998 → 27 八月 1998 |
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引用此
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.