摘要
本文采用蚁群优化算法求解寻源导热反问题。首先根据蚁群算法的特点建立适合于反演热源位置的路径构造方法、路径的选择规则及反映信息素释放与挥发的局部更新规则和全局更新规则,并以目标函数值的大小作为搜寻路径的长短;在蚁群系统基础上引入了优化排序机制,建立了了收敛速度更为快速及搜索解更为准确的蚁群系统模型。通过数值计算表明:本文建立的改进蚁群系统,适于寻源导热反问题的求解;与一般蚁群系统相比,能够提高解元素之间的差异,加快蚂蚁搜索收敛速度。
This paper adopted ant colony optimization algorithm to search heat source location in IHCP. To establish a appropriate ant colony algorithm model, this paper constructed the heat source location＇s searching path, path selection rules, the local updating rules and the global update rules which reflect the pheromone release and volatile. Besides, this paper used objective function value as the length of paths. This paper proposed sorting mechanism to establish a faster convergence rate and more accurate ant colony algorithm model. Numerical results show that： the ant colony optimization algorithm established in this paper is suitable for searching heat source location in IHCP. Compared with the general ant colony system, the algorithm can improve the difference between elements and make the search more quickly to concentrate to the optimal solution.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2013年第4期694-697,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.51176126)
上海市重点学科建设项目支助(No.J50501)
关键词
导热反问题
寻源
改进蚁群系统
优化排序机制
IHCP
heat source＇s location searching
ant colony optimization algorithm
sorting mechanism
