RESEARCH ON OPTIMISATION OF COUNTY-LEVEL URBAN EXPRESS DELIVERY USING A MULTI-STRATEGY IMPROVED GENETIC ALGORITHM

In this paper, a multi-objective vehicle path optimisation modelwith capacity constraints and time windows is proposed for thelogistics and distribution problem of a single distribution center in acounty city.

Authors

Hongjun Zhu (ORCID: https://orcid.org/0000-0003-2339-8739)
Shaoping Xiao (ORCID: https://orcid.org/0000-0001-9658-7149)
Yangxin Teng (ORCID: https://orcid.org/0009-0004-0735-9435)

Publication Details

Journal: International Journal of Robotics and Automation
Published: 2025-12-05
DOI: https://doi.org/10.2316/j.2026.206-1295
Primary Topic: Vehicle Routing Optimization Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

RESEARCH ON OPTIMISATION OF COUNTY-LEVEL URBAN EXPRESS DELIVERY USING A MULTI-STRATEGY IMPROVED GENETIC ALGORITHM

Hongjun Zhu, Shaoping Xiao, Yangxin Teng

Dec 5, 2025

International Journal of Robotics and Automation

Vehicle Routing Optimization Methods

article

RESEARCH ON OPTIMISATION OF COUNTY-LEVEL URBAN EXPRESS DELIVERY USING A MULTI-STRATEGY IMPROVED GENETIC ALGORITHM

Hongjun Zhu, Shaoping Xiao, Yangxin Teng

December 5, 2025article en

Abstract

International Journal of Robotics and AutomationVol. 41(10)

Openalex Percentile: Top 49%

Vehicle Routing Optimization Methods

DOI Source OpenAlex

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RESEARCH ON OPTIMISATION OF COUNTY-LEVEL URBAN EXPRESS DELIVERY USING A MULTI-STRATEGY IMPROVED GENETIC ALGORITHM — Hongjun Zhu, Shaoping Xiao, et al. · International Journal of Robotics and Automation (2025) | TGRS Research Map | TGRS