TY - JOUR
TI - Thermal control system based on ant colony algorithm
AU - Zhang Ran
AU - Zhou Yan
JN - Thermal Science
PY - 2021
VL - 25
IS - 4
SP - 3179
EP - 3189
PT - Article
AB - In order to improve the accuracy and speed of solving the inverse problem of  source-seeking heat conduction, the paper proposes a correlation-based ant  colony optimization algorithm for the inverse problem of source-seeking heat  conduction based on the characteristics of the influence of the heat source  position on the boundary temperature distribution in the heat conduction  problem. This method is used to construct the corresponding heuristic  information value for each co-ordinate of the heat source location, which can  reflect the degree of similarity between the temperature curve of the  calculated measuring point and the temperature curve of the real measuring  point, namely the correlation degree. The ant colony optimization algorithm  the medium path selection mechanism and the structure of the objective  function have been improved. The paper replaces the actual experiment with  numerical calculation obtain the temperature of the measuring point, and  performs computer programming experiment on the inverse problem. The  calculation results show that the calibration method of this heuristic  information value and the objective function the construction method can  distinguish the quality of the path well, thereby increasing the speed of the  ant colony converging to the best path. The computational efficiency is  improved by 18-60% compared with the ant colony algorithm that does not  consider the correlation.