Objectives In this paper, a conventional model for medical device distribution logistics is established to minimize cost, and a new hybrid any colony quantum algorithm is proposed to ensure the medical devices are delivered within the specified time.
Methods First, a mathematical model of the logistics of medical device distribution is established according to the characteristics of the particular medical device to be delivered in the specified time. Second, a quantum chromosome is constructed based on the ant colony algorithm to minimize distribution time. Finally, the analytic hierarchy process (AHP) strategy is introduced to analyze the performance of the algorithm.
Results From experimental examples and the contradistinction with conventional intelligent algorithms, it is known that the optimal solution can be obtained in a shorter period and with less iterations with the proposed algorithm than with existing algorithms. It both improves the convergence speed of the global optimal solution and enhances the fitness of the medical device distribution logistics problem.
Conclusions The proposed algorithm uses fewer parameters and the convergence rate is faster for medical device distribution logistics than with other algorithms. Moreover, in a relatively short period of time, the global optimal solution can be obtained.
Acknowledgments This research was financially supported by the Scientific Research Project of Liaoning Province Education Department, China (Grant No. L2014183), Liaoning Provincial Natural Science Foundation of China (Grant No. 201602131) and the Dr Scientific Research Fund of Liaoning Province (Grant No. 201601244).
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