Path Planning of Ant Colony Algorithm Based on Decision Tree in the Context of COVID-19

Algorithm 4

Pseudocode of improved ACO algorithm.

1: Initializing the human flow density matrix;

2: The crowd density matrix is updated based on decision tree rules;

3: Initialize the pheromone matrix;

%Update the pheromone volatility matrix based on the human flow density matrix

4: if  from the high-density area to the low-density area, or in the low-density area then

5:  ←A1; %The is the pheromone volatility coefficient

6: elseif  in the same density area then  %The A1, A2, and A3 are three different coefficient values

7:  ←A2;  %A1<A2<A3

8: elseif  from the low-density area to the high-density area then

9:  ←A3;

10: Basic ACO algorithm;