Abstract
Based on the assumptions given by the model, a mathematical model of multi-objective optimization problem is established on the basis of considering the requirements of gravity center, frequency and the time required for a single operation mode to complete the operation of warehouse entry and exit. A genetic algorithm is proposed to solve the problem of warehouse location optimization. The simulation results show that the genetic algorithm can effectively solve the problem of warehouse location optimization.
Cite
CITATION STYLE
Xu, W., & Jia, H. (2019). Research on Storage Location Optimization Based on Genetic Algorithms. In Journal of Physics: Conference Series (Vol. 1213). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1213/3/032020
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