App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 5

K-means clustering based on customers density and dynamic virtual multitasking iwd for cold-chain logistics distribution

Cheng Meiyinga
Han Runhuab
a. School of Economics & Management, b. School of Information Engineering, Huzhou University, Huzhou Zhejiang 313000, China
DOI: 10.19734/j.issn.1001-3695.2025.09.0391

Abstract

Aiming at the shortcomings of existing cold chain logistics distribution, such as the failure to consider customer groups deviating from the distribution center when allocating refrigerated trucks, and the tendency of the Intelligent Water Drops (IWD) algorithm to easily fall into local optima in later stages, this paper proposed a cold chain logistics distribution method that integrates customer density based k-means clustering method (KCCD) and a Dynamic Virtual Multitasking IWD(DVMIWD) algorithm. First, it designed a KCCD method to assign customers to suitable refrigerated trucks. Then, it introduced the multitasking optimization concept to construct a virtual multitasking environment. In the DVMIWD algorithm, it introduced auxiliary populations to assist the evolution of the main population. Once the auxiliary population stagnated and can no longer transfer effective information to the main population, the process eliminated the auxiliary population and regenerated a new one of the same scale from an excellent solution information library. Finally, after validating the effectiveness of the KCCD-DVMIWD algorithm using the classic CVRP problem, the study applied it to cold chain logistics distribution problems of different scales. Simulation experiments show that, compared to static auxiliary populations, the KCCD-DVMIWD algorithm reduces the average total cost by up to 0.8% and 1.04% respectively when solving cold chain logistics distribution instances n22 and n26.

Foundation Support

浙江省哲学社会科学领军人才培育重大专项课题(22YJRC14ZD)
国家自然科学基金青年基金资助项目(62102148)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.09.0391
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 5

Publish History

[2026-01-19] Accepted Paper

Cite This Article

程美英, 韩润华. 基于客户密度聚类和动态虚拟多任务智能水滴算法的冷链物流配送方法 [J]. 计算机应用研究, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0391. (Cheng Meiying, Han Runhua. K-means clustering based on customers density and dynamic virtual multitasking iwd for cold-chain logistics distribution [J]. Application Research of Computers, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0391. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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