An augmented lagrangian pattern search method for optimal WWTP designs

This paper describes a derivative-free method to solve a non-linear constrained optimization problem that arises from the mathematical formulation of an activated sludge system of a wastewater treatment plant (WWTP), in which the objective is to minimize the investment and operation costs. The metho...

Full description

Bibliographic Details
Main Author: Espírito Santo, I. A. C. P. (author)
Other Authors: Fernandes, Edite Manuela da G. P. (author), Araújo, Maria Madalena Teixeira de (author), Ferreira, Eugénio C. (author)
Format: conferencePaper
Language:eng
Published: 2007
Subjects:
Activated sludge system
Secondary settler
Pattern search method
Augmented lagrangian
Science & Technology
Online Access:https://hdl.handle.net/1822/22313
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/22313
Description
Summary:This paper describes a derivative-free method to solve a non-linear constrained optimization problem that arises from the mathematical formulation of an activated sludge system of a wastewater treatment plant (WWTP), in which the objective is to minimize the investment and operation costs. The method relies on an augmented Lagrangian function to penalize infeasible solutions and uses the original Hooke and Jeeves pattern search method for solving bound constrained subproblems. The experimental results are very promising and give economically attractive WWTP designs.

Similar Items