Research Article
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 |
|