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http://bibdigital.epn.edu.ec/handle/15000/9322
Título: | A New Algorithm Based on rSQP and AD |
Autor: | Li, Jin Tan, Yuejin Liao, Liangcai |
Palabras clave: | ALGORITMOS OPTIMIZACIÓN |
Fecha de publicación: | 9-mar-2007 |
Resumen: | An efficient optimization algorithm based on reduced sequential quadratic programming (rSQP) and automatic differentiation (AD) is presented in this paper. With the characteristics of sparseness, relatively low degrees of freedom and equality constraints utilized, the nonlinear programming problem was solved by improved rSQP solver. In the solving process, AD technology was used to obtain accurate gradient information. The numerical results show that the combined algorithm, which is suitable for large-scale process optimization problems, can calculate more efficiently than rSQP itself. |
URI: | http://bibdigital.epn.edu.ec/handle/15000/9322 |
Tipo: | Article |
Aparece en las colecciones: | 2005 International Conference on Industrial Electronics and Control Applications (FIEE) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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P0109.pdf | 376,57 kB | Adobe PDF | Visualizar/Abrir |
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