Multi-Objective Cold Chain Path Optimization Based on Customer Satisfaction

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