Open AccessResearch on Storage Location Optimization Based on Genetic Algorithms
Author(s) -
Weiqiang Xu,
Hongwei Jia
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1213/3/032020
Subject(s) - genetic algorithm , computer science , warehouse , mathematical optimization , basis (linear algebra) , mode (computer interface) , optimization problem , algorithm , mathematics , machine learning , geometry , marketing , business , operating system
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.