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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Resolution of Unknown Heat Source Inverse Heat Conduction Problems Using Particle Swarm Optimization
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Resolution of Unknown Heat Source Inverse Heat Conduction Problems Using Particle Swarm Optimization

机译:使用粒子群算法解决未知热源逆导热问题

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The main objective of this article is to solve inverse heat conduction problems with the particle swarm optimization method. An enhanced particle swarm optimization (EPSO) algorithm is proposed to overcome the shortcoming of earlier convergence of standard PSO algorithms. The EPSO is used to estimate the unknown time-dependent heat source in complex regions. Numerical experiments indicate the validity and stability of the EPSO method.
机译:本文的主要目的是用粒子群优化方法解决逆热传导问题。提出了一种改进的粒子群算法(EPSO),以克服标准PSO算法较早收敛的缺点。 EPSO用于估计复杂区域中未知的时间相关热源。数值实验表明了EPSO方法的有效性和稳定性。

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