Weighted Global Artificial Bee Colony Algorithm Makes Gas Sensor Deployment Efficient.
This paper proposes an improved artificial bee colony algorithm named Weighted Global ABC (WGABC) algorithm, which is designed to improve the convergence speed in the search stage of solution search equation. The new method not only considers the effect of global factors on the convergence speed in the search phase, but also provides the expression of global factor weights. Experiment on benchmark functions proved that the algorithm can improve the convergence speed greatly. We arrive at the gas diffusion concentration based on the theory of CFD and then simulate the gas diffusion model with the influence of buildings based on the algorithm. Simulation verified the effectiveness of the WGABC algorithm in improving the convergence speed in optimal deployment scheme of gas sensors. Finally, it is verified that the optimal deployment method based on WGABC algorithm can improve the monitoring efficiency of sensors greatly as compared with the conventional deployment methods.
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China. jiangye@sari.ac.cn.|University of Chinese Academy of Sciences, Beijing 100049, China. jiangye@sari.ac.cn.
Ye
Y
Jiang
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China. hezq@sari.ac.cn.
Ziqing
Z
He
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China. liyh@sari.ac.cn.
Yanhai
Y
Li
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China. xuzy@sari.ac.cn.
Zhengyi
Z
Xu
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China. wjm@sari.ac.cn.
Jianming
J
Wei
artificial bee colony algorithm; benchmark function; convergence speed; gas diffusion model; global factor; optimal deployment