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January 1, 2026International Journal of Global Warming

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

Zhaoyang Wu James Liaoyong Cicely Jefferson Danxia Chen Gui Ren Rui Guo Yanni Liao Tingrui Zhu

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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.

Implication

Research demonstrates improved agricultural distribution paths in logistics, suggesting enhanced efficiency and sustainability.

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Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/69b3ab5e02a1e69014ccc1ee https://doi.org/10.1504/ijgw.2026.10076933

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