Research on Green Transport Mode of Chinese Bulk Cargo Based on Fourth-Party Logistics

Algorithm 1

The improved particle swarm optimization algorithm.

(i)	FOR each particle k
(ii)	Initialize Vk: particle velocity
(iii)	Initialize Lk: the historical optimal position
(iv)	Initialize : the optimal global position
(v)	Initialize Pareto solution set. Generate Pareto solution set with Vk, Lk, and
(vi)	Initialize N: population number
(vii)	Calculate fitness. Calculate fitness with involving parameters
(viii)	FOR each particle k
(ix)	Update Vk according to the Pareto solution set
(x)	Update fitness: update fitness with new Vk
(xi)	IF the fitness value is better than Lk in history
(xii)	Lk = the fitness value
(xiii)	END IF
(xiv)	IF the fitness value is better than in history
(xv)	= the fitness value
(xvi)	END IF
(xvii)	Update the new Pareto solution set. Update the Pareto solution set with new Vk, Lk, and
(xviii)	END FOR
(xix)	i = i+1
(xx)	WHILE maximum iterations or get a sufficiently good position