Multi-Objective Optimisation of Agricultural Product Distribution Paths using GA-BP Neural Network for Green Logistics

Key Points

• This research aims to optimize agricultural product distribution paths using a genetic algorithm and backpropagation neural network.
• Utilized a genetic algorithm for multi-objective optimization.
• Developed a backpropagation neural network model for effective path analysis.
• Analyzed distribution scenarios to assess improvements in logistics efficiency.
• Identified optimal distribution paths that reduce transportation costs.
• Achieved higher efficiency and sustainability in product distribution.
• Demonstrated the effectiveness of GA-BP methods in logistical operations.