Nonlinear constrained optimizer and parallel processing for golden block line search

• Autorzy: Nguyen, D. T. , Tang, W. H. , Tung, Y. K.
• Konferencja: International Conference on Numerical Mathematics and Computational Mechanics : NMCM'98 (8 th ; August 1998 ; Miskolc ; Hungary)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

PL

programowanie nieliniowe; przetwarzanie równoległe

EN

nonlinear programming; parallel processing

• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 1999
• Tom: Vol. 6, No. 3-4
• Strony: 469-477
• Opis fizyczny: Bibliogr. 15 poz., tab.

Twórcy

autor

Nguyen, D. T.

autor

Tang, W. H.

autor

Tung, Y. K.

• Old Dominion University , Multidisciplinary Parallel-Vector Computation Center, Kaufman 135, Norfolk, VA 23529, USA