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Research on Site Selection and Path Planning for Straw Recycling Centers Based on a Mixed Particle Swarm Algorithm

Author(s)

Shunhang Liang

Affiliation(s)

Zhengzhou University, Zhengzhou, Henan, China

Abstract

The low-carbon utilization of straw is a crucial strategy for enhancing the rural ecological environment and achieving the "dual carbon" goals in agriculture. However, the recovery of straw encounters several challenges, including high transportation costs, unstandardized collection and storage practices, and the absence of a scientific management and planning system. To address these issues, this paper integrates location and routing planning problems and develops a mixed-integer programming model for an agricultural straw resource utilization network location-routing (LRP) with the objective of minimizing transportation costs associated with straw recovery. Given that the problem presented in this paper is classified as NP-hard, a hybrid particle swarm optimization algorithm is designed, leveraging the strengths of both particle swarm optimization and genetic algorithms. The effectiveness of this algorithm is validated through benchmark case testing. Utilizing simulation cases and considering the characteristics of straw resource utilization, optimal solutions for the facility location and vehicle routing planning within the agricultural straw resource utilization network are achieved. The study demonstrates that the model can significantly reduce transportation costs and standardize the transportation system. Furthermore, the findings contribute to the advancement of agricultural reverse logistics and hold substantial practical significance.

Keywords

Straw Recycling; Hybrid Particle Swarm; Optimization Path; Reverse Logistics

References

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