DocumentCode
2073471
Title
Parallel Particle Swarm Optimization Algorithm of Inverse Heat Conduction Problem
Author
Qi, Jingjing ; Guo, Qingping ; Lin, Jiansheng ; Zhou, Ming ; Zhang, Shesheng
Author_Institution
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
5
Lastpage
9
Abstract
Inverse heat conduction problem can be found in many engineering fields, and has the characteristics of nonlinearity, ill-posedness and massive-computation. In this paper, a parallel Particle Swarm Optimization (PSO) algorithm is proposed to solve inverse heat conduction problem, after choosing parameters determining condition. The numeric results show that the algorithm has high accuracy and can be used in practice.
Keywords
heat conduction; inverse problems; parallel algorithms; particle swarm optimisation; engineering field; ill-posedness characteristic; inverse heat conduction problem; massive-computation characteristic; nonlinear characteristic; parallel particle swarm optimization algorithm; Atmospheric measurements; Heat transfer; Heating; Mathematical model; Particle measurements; Simulated annealing; Temperature measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-7539-1
Type
conf
DOI
10.1109/DCABES.2010.154
Filename
5572138
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