Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin

Table 2

The sets, indices, and parameters used for solving the TPOM-EI.

Parameter	Definition
K	Set of the ant colony
k	Index of ants
Iter	Maximum number of iterations
NC	Iteration counter, NC ≤ Iter
	Pheromone concentration on route (i, j)
	Heuristic information concentration on route (i, j),
	Weight of pheromone concentration
	Weight of heuristic pheromone concentration
	Pheromone retention capacity
Q	Total amount of pheromone
S	Set of access nodes
	Total cost of the kth ant
	Set of tabu list when kth ant is located at node i
	Set of nodes allowed to be visited by the kth ant at node i
	Probability of the kth ant moving from node i to node j
	Sum of all previous n moving probabilities
R	Random number obeying [0, 1] uniform distribution
	Preset parameter between 0 and 1
	Total amount of pheromone released by the kth ant on route (i, j)
	Total gap of pheromone on route (i, j)
	Total cost of travel for ant