A DIDE-FPP Composite Algorithm for Accurate Tunnel Fire Location

We propose a DIDE-FPP composite algorithm to improve the spatial location accuracy of tunnel fires based on the distributed individuals differential evolution (DIDE) algorithm and the four-point positioning (FPP) method. Using the DIDE algorithm to solve the multimodal optimization problems in tunnel fire location can locate more peaks and improve peak finding, and the FPP method is used to process the peak points located using the DIDE and achieve the spatial location which cannot be achieved otherwise using the DIDE method only. We used 20 multimodal test functions to evaluate the performance of the DIDE-FPP algorithm in peak finding and solving MMOPs. Through experimental comparisons with 13 other existing advanced methods, the comprehensive performance of the proposed DIDE-FPP composite algorithm shows advantages to some extents. Additionally, the combined value of PR (peak ratio) and SR (success rate) on up to 20 experimental functions is relatively high. The spatial positioning accuracy of a tunnel fire warning system using this positioning method can reach the centimeter level.

Automated summary

A DIDE-FPP composite algorithm is proposed to improve the spatial location accuracy of tunnel fires. The algorithm combines the distributed individuals differential evolution (DIDE) algorithm and the four-point positioning (FPP) method. Experimental results show that the proposed algorithm has advantages in peak finding and solving multimodal optimization problems compared to existing methods. The spatial positioning accuracy of a tunnel fire warning system using this method can reach the centimeter level.