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Peng, J. (2019) Optimizing the Transportation Route of Fresh Food in Cold Chain Logistics by Improved Genetic Algorithms. International Journal of Metrology and Quality Engineering, 10, Article No. 14. https://doi.org/10.1051/ijmqe/2019013

has been cited by the following article:

• TITLE: Multi-Objective Cold Chain Path Optimization Based on Customer Satisfaction

  AUTHORS: Jing Zhang, Baocheng Ding

  KEYWORDS: Cold Chain Logistics, Customer Satisfaction, Elitist Non-Dominated Sorting Genetic Algorithm, Multi-Objective Optimization

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.11 No.6, June 30, 2023

  ABSTRACT: To improve customer satisfaction of cold chain logistics of fresh agricultural goods enterprises and reduce the comprehensive distribution cost composed of fixed cost, transportation cost, cargo damage cost, refrigeration cost, and time penalty cost, a multi-objective path optimization model of fresh agricultural products distribution considering client satisfaction is constructed. The model is solved using an enhanced Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), and differential evolution is incorporated to the evolution operator. The algorithm produced by the revised algorithm produces a better Pareto optimum solution set, efficiently balances the relationship between customer pleasure and cost, and serves as a reference for the long-term growth of organizations.