用于寻源导热反问题的自适应蚁群算法研究

张涛; 卢玫; 李博汉; 陶亮

doi:10.3879/j.issn.1000-0887.2014.07.012

用于寻源导热反问题的自适应蚁群算法研究

doi: 10.3879/j.issn.1000-0887.2014.07.012

上海理工大学能源与动力工程学院, 上海 200093

基金项目: 国家自然科学基金（51176126）

详细信息

作者简介:
张涛（1987—），男，河南人，博士生(E-mail: zhangtaobeyond@126.com)

中图分类号: TK124;O369
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- 被引次数: 0
出版历程
- 收稿日期: 2013-10-31
- 修回日期: 2014-03-13
- 刊出日期: 2014-07-15

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

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）

摘要

摘要: 建立以蚁群算法(ant colony optimization, ACO)为基础的二维稳态导热反问题的求解模型.模型根据边界测点的测量信息与计算所得到的测点温度进行比较，将导热反问题转化为一个优化问题.对蚁群算法进行改进，利用不同路径构造方法的自适应蚁群算法对热源强度、热源位置进行反演，得到较为精确的反演结果.结果表明，所采用的蚁群算法和针对不同反演参数的路径构造方法具有较强的稳定性，能够较好反演热源强度及热源位置.
- 热传导 /
- 反问题 /
- 寻源 /
- 蚁群算法
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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参考文献(7)

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