论文信息 - Parallel genetic algorithms for the solution of inverse heat conduction problems

Parallel genetic algorithms for the solution of inverse heat conduction problems

A parallel genetic algorithm (PGA) is proposed for the solution of two-dimensional inverse heat conduction problems involving unknown thermophysical material properties. Experimental results show that the proposed PGA is a feasible and effective optimization tool for inverse heat conduction problems.

C.-H. Lai | Qingping Guo | Dingcai Shen | Yucheng Guo

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