Sixth International Conference on Transportation Engineering
Multi-Objective Location of Fresh Food E-Commerce Distribution Network Based on Improved NSGA-II Algorithm
Publication: ICTE 2019
ABSTRACT
To optimize the distribution network location of fresh food e-commerce, based on the traditional location model, customer satisfaction, and the loss function of fresh goods were defined, the multi-objective location model of the fresh food e-commerce distribution network was established to get the moderate balance between customer satisfaction and the cost of the distribution. Combined with multi-population optimization algorithms, an improved Non-dominated sorting genetic algorithm-II (NSGA-II) was proposed. Multiple populations are introduced to search at the same time, and an elite population is formed to co-evolution, improving the population diversity and the search performance of global search and local search. The simulation results show that the improved NSGA-II algorithm can effectively obtain the Pareto optimal solution of the model and provide a comprehensive decision for the distribution network location of the fresh food e-commerce enterprises.
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Information & Authors
Information
Published In
ICTE 2019
Pages: 671 - 680
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
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