Application of Quantum Genetic Algorithm in Logistics Distribution Planning

In this paper, the quantum genetic algorithm is proposed to decide the distribution scheme for logistic centers. Firstly, the key point of the paper is the combination of the quantum bits coding method with the real transportation quantities. At the same time, three different adjustment strategies are also compared in this paper, having the great value for the reference to the schedule problem. Then to be more proper to the distribution problem, a new quantum renew methods is developed. At last proving the ability of exploring and development of QGA, the results of tests proved the algorithm available to the schedule problem, and have a great space to development in SDS (supply and distribution system), DS (decision support), and PS (production scheduling).