摘要
为了提高温度场重建的精度,提出了基于萤火虫算法的温度场重建方法。通过萤火虫的吸引、移动等行为更新萤火虫的位置,当确定了萤火虫群体的最优位置,即可确定温度场每个像素中心的温度值,重建出所测区域的温度场。通过仿真实验,对单热点温度场进行了重建。利用最大绝对值误差、平均绝对值误差和均方根误差指标衡量了温度场重建的效果,与传统的迭代算法相比,所提出的算法能获得更高精度。
In order to improve the reconstruction precision of the temperature field,we propose a temperature field reconstruction algorithm based on the firefly algorithm.The location of the firefly is updated through their behaviors,such as attraction and movement.When the optimal location of the firefly group is determined,the temperature value of each pixel center in the temperature field can be confirmed to reconstruct the temperature field of the tested regions.We reconstruct a one-peak temperature field via simulations,and the reconstruction effect is measured by maximum absolute value error,mean absolute error and root mean square error.Compared with traditional iterative algorithms,the proposed algorithm has higher precision.
出处
《计算机工程与科学》
CSCD
北大核心
2018年第1期159-164,共6页
Computer Engineering & Science
基金
国家自然科学基金(10974130)
陕西省科学研究发展计划(2016NY-176
2016NY-198)
关键词
声学法
温度场
萤火虫算法
迭代算法
acoustic method
temperature field
firefly algorithm
iterative algorithm
