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
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;
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
DOI :
10.1109/DCABES.2010.154
