Abstract
Making an allocation scheme which can achieve the optimal overall efficiency that matching multiple logistics tasks and resources under the environment that the tasks’ demands are uncertain is difficult. In this paper, we build a mathematical model to describe the problem and try to solve it by the genetic algorithm. We also consider the daily usage amount of each resource should be as equilibrious as possible. The result of the case simulation proves the effectiveness of the model and the algorithm. As well as, we analyze the impact that the size of the uncertainty’s degree on the allocation result.
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Acknowledgements
This research was supported by Shandong Provincial Natural Science Foundation, China (Grant No. ZR2015GQ006), and the Fundamental Research Funds for the Central Universities, China (Grant No. 17CX04023B).
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Xu, X., Liu, J. (2018). Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty. In: Chao, F., Schockaert, S., Zhang, Q. (eds) Advances in Computational Intelligence Systems. UKCI 2017. Advances in Intelligent Systems and Computing, vol 650. Springer, Cham. https://doi.org/10.1007/978-3-319-66939-7_31
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DOI: https://doi.org/10.1007/978-3-319-66939-7_31
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