Por favor, use este identificador para citar o enlazar este ítem: 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
Aparece en las colecciones: 2005 International Conference on Industrial Electronics and Control Applications (FIEE)

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