Hybrid genetic pattern search augmented Lagrangian algorithm : application to W...

• Autor(es): Espírito Santo, I. A. C. P. ; Costa, L. ; Denysiuk, Roman ; Fernandes, Edite Manuela da G. P.
• Data: 2010
• Identificador Persistente: http://hdl.handle.net/1822/17158
• Origem: RepositóriUM - Universidade do Minho
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

An augmented Lagrangian algorithm is presented to solve a global optimization problem that arises when modeling the activated sludge system in a Wastewater Treatment Plant, attempting to minimize both investment and operation costs. It is a heuristic-based algorithm that uses a genetic algorithm to explore the search space for a global optimum and a pattern search method for the local search refinement. The obtained results have physical meaning and show the effectiveness of the proposed method.