A study of fireworks algorithm for cold chain logistics path optimization in karst landscape

In this study, the challenges of cold chain logistics path optimization under complex terrain conditions are explored against the background of karst landscape, and the Fireworks Algorithm (FWA) is proposed and improved to enhance the efficiency and reliability of cold chain logistics path scheduling. By analyzing the operation process of cold chain logistics in Enterprise H, a mathematical model containing multi-objective optimization of transportation cost, temperature control, time constraints and terrain complexity is constructed. The improved algorithm enhances the performance in path optimization, cost control, temperature compliance and computational efficiency by introducing dynamic spark generation strategy, multi-mode search mechanism and hybrid optimization strategy. Experimental results show that the algorithm is more applicable in multi-objective optimization problems, and can reduce transportation costs and optimize logistics paths.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862923
Primary Topic
E-commerce and Technology Innovations
Type
article
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A study of fireworks algorithm for cold chain logistics path optimization in karst landscape

Zewei He, Yunji Ye, Bo Chen, Lei Zhang et al.
E-commerce and Technology Innovations
article

A study of fireworks algorithm for cold chain logistics path optimization in karst landscape

Zewei He, Yunji Ye, Bo Chen, Lei Zhang, Min Li, Wenjia Zheng, Rui Qv
article en

Abstract

In this study, the challenges of cold chain logistics path optimization under complex terrain conditions are explored against the background of karst landscape, and the Fireworks Algorithm (FWA) is proposed and improved to enhance the efficiency and reliability of cold chain logistics path scheduling. By analyzing the operation process of cold chain logistics in Enterprise H, a mathematical model containing multi-objective optimization of transportation cost, temperature control, time constraints and terrain complexity is constructed. The improved algorithm enhances the performance in path optimization, cost control, temperature compliance and computational efficiency by introducing dynamic spark generation strategy, multi-mode search mechanism and hybrid optimization strategy. Experimental results show that the algorithm is more applicable in multi-objective optimization problems, and can reduce transportation costs and optimize logistics paths.

Openalex Percentile: Top 50%
E-commerce and Technology Innovations
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A study of fireworks algorithm for cold chain logistics path optimization in karst landscape — Zewei He, Yunji Ye, et al. · (2024) | TGRS Research Map | TGRS