DocumentCode :
1836342
Title :
A general optimization framework for complex PDE models based on data interactive mechanism
Author :
Kangji Li ; Wenping Xue ; Guohai Liu
Author_Institution :
Sch. of Electr. Inf. Eng., Jiangsu Univ., Zhenjiang, China
fYear :
2015
fDate :
7-11 July 2015
Firstpage :
1207
Lastpage :
1211
Abstract :
For many PDE-related optimization problems, the cost function is usually computationally expensive and its derivatives are not available or may not even exist. In this paper, we establish a kind of general optimization framework, which can couple Matlab-based optimization algorithms into any PDE-related simulation program that reads/writes its input/output from text files. The key part of this optimization framework is a kind of data interactive mechanism, which passes parameters between simulation programs and optimization function. A numerical optimization of ventilation system operation is conducted according to the established framework. Performance analysis will demonstrate the effectiveness of the proposed optimization approach.
Keywords :
optimisation; partial differential equations; Matlab-based optimization algorithms; PDE-related optimization problems; PDE-related simulation program; complex PDE models; cost function; data interactive mechanism; general optimization framework; input/output; numerical optimization; optimization function; partial differential equation; reads/writes; simulation programs; text files; ventilation system operation; Buildings; Cost function; Data models; MATLAB; Numerical models; Ventilation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/AIM.2015.7222703
Filename :
7222703
Link To Document :
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