Port trucks route optimization based on GA-ACO.

The port trucks congestion problem existed in many ports. For this reason, the port trucks route cost optimization model faced the 'work surface' was established by exploring the effect factors of port trucks operation efficiency and the cost composition of the truck route in the container gantry crane system. Then genetic algorithm-ant colony optimization algorithm (GA-ACO) is proposed in view of the model and analyzed the problems with an example, compared optimization results with those by ant colony algorithm from the changes of truck route convergence, variable cost, penalty cost and total cost. The results show that genetic algorithm-ant colony optimization algorithm is faster converge to the optimal solution and gain less cost. [ABSTRACT FROM AUTHOR]