Parallel Particle Swarm Optimization Algorithm of Inverse Heat Conduction Problem

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.