Study of Self-Adaptive Ant Colony Optimization for Heat Source Search in Inverse Heat Conduction Problems

ZHANG Tao; LU Mei; LI Bo-han; TAO Liang

doi:10.3879/j.issn.1000-0887.2014.07.012

Volume 35 Issue 7

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Article Navigation > Applied Mathematics and Mechanics > 2014 > 35(7): 823-830

ZHANG Tao, LU Mei, LI Bo-han, TAO Liang. Study of Self-Adaptive Ant Colony Optimization for Heat Source Search in Inverse Heat Conduction Problems[J]. Applied Mathematics and Mechanics, 2014, 35(7): 823-830. doi: 10.3879/j.issn.1000-0887.2014.07.012

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Study of Self-Adaptive Ant Colony Optimization for Heat Source Search in Inverse Heat Conduction Problems

doi: 10.3879/j.issn.1000-0887.2014.07.012

School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P.R.China

Funds: The National Natural Science Foundation of China（51176126）

Received Date: 2013-10-31
Rev Recd Date: 2014-03-13
Publish Date: 2014-07-15

Abstract

Abstract

A model based on ant colony optimization (ACO) was presented for the solution of two-dimensional stable inverse heat conduction problems (IHCP). According to comparison between the measured information at boundary points and the calculated temperature at those points, the IHCP was transformed to an optimization problem. By means of different path construction methods the ACO was improved as a self-adaptive algorithm to inversely calculate the heat-source intensity and location with high precision. The results show that the present self-adaptive ACO with the path construction methods for different inversion parameters is robust and accurate for the search of location and intensity of the heat source.
- heat conduction,
- inverse problem,
- heat source,
- ant colony optimization

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References(7)

References

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