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Parallel Particle Swarm Optimization Algorithm of Inverse Heat Conduction Problem

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5 Author(s)
Jingjing Qi ; Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China ; Qingping Guo ; Jiansheng Lin ; Ming Zhou
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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.

Published in:

Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on

Date of Conference:

10-12 Aug. 2010