Research on Storage Location Optimization Based on Genetic Algorithms

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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.

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APA

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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