An augmented Lagrangian pattern search method for optimal WWTP designs

被引：0
|
作者：
Santo, I. A. C. P. Espirito [1 ]
Fernandes, E. M. G. P. [1 ]
Araujo, M. M. [1 ]
Ferreira, E. C. [2 ]
机构：
[1] Univ Minho, Syst & Prod Dept, Campus Gualtar, P-4710057 Braga, Portugal
[2] Univ Minho, Ctr Biol Engn, P-4710057 Braga, Portugal
来源：
PROCEEDINGS OF THE 6TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND SIMULATION IN ENGINEERING (ICOSSSE '07): SYSTEM SCIENCE AND SIMULATION IN ENGINEERING | 2007年
关键词：
activated sludge system; secondary settler; pattern search method; augmented Lagrangian;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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页码：313 / +
页数：2
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