Optimization Selection of Logistics Route by sIntegrating Multi-Objective Genetic Algorithm

  • Sun Beibei

Abstract

with the rapid development of mobile Internet, logistics industry informationization
degree deepening, produced huge amounts of data in the process of logistics operation,
how to carry on the visualization using multi-objective genetic logistics operation
management, is the whole logistics industry at present, the opportunities and
challenges facing the application of multi-objective genetic technology can help the
logistics enterprises to improve management level and the realization of the aim of
intelligent decision-making, accurate forecasts.Starting from the total amount of
logistics, regional layout, enterprise scale and multi-objective genetic algorithm, this
paper analyzes the current situation of logistics development in China, and puts
forward some countermeasures, such as integrating resources, increasing investment
and supporting enterprises, in view of the existing problems in logistics.

Published
2020-11-01
Section
Articles