Fresh Produce Delivery Path Optimization Based on Improved Genetic Algorithm

Zheng Yang () and Xinlei Li
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Zheng Yang: Liaoning University of Engineering and Technology
Xinlei Li: Liaoning University of Engineering and Technology

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 963-971 from Springer

Abstract: Abstract Aiming at the current problems of low transportation on-time rate and high product spoilage rate in the cold chain logistics industry, we constructed a fresh produce distribution path optimization model considering the fixed cost, transportation cost, cargo damage cost, refrigeration cost and time window penalty cost minimization, and solved the model by using improved genetic algorithm. The results show that the total cost after optimization is reduced by 8% compared with the pre-optimization, and the total distance is reduced by 13% compared with the pre-optimization. It is verified that the improved genetic algorithm is more effective than the traditional genetic algorithm through examples.

Keywords: Cold chain logistics; Time window; Improved genetic algorithm; Path optimization (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-570-6_96

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