MULTI-AGV PATH PLANNING FOR AUTOMATED WAREHOUSE SYSTEM BASED ON IMPROVED ANT COLONY OPTIMISATION AND NODE VECTOR TIME WINDOW, 334-349.

For conﬂict-free path planning of multiple automated guidedvehicles (multi-AGVs) in a ﬂexible manufacturing system, thispaper proposes a two-stage method that combines the improvedant colony optimisation (ACO) and the node vector time windowalgorithm.

Authors

Xi’ai Chen (ORCID: https://orcid.org/0000-0003-4756-3962)
Fantong Wang
Suan Xu (ORCID: https://orcid.org/0000-0002-4281-3785)
Binrui Wang (ORCID: https://orcid.org/0000-0002-8955-4055)

Publication Details

Journal: International Journal of Robotics and Automation
Published: 2025-01-01
DOI: https://doi.org/10.2316/j.2025.206-1139
Primary Topic: Advanced Manufacturing and Logistics Optimization
Type: article
Field-Weighted Citation Impact: 0.00

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article

MULTI-AGV PATH PLANNING FOR AUTOMATED WAREHOUSE SYSTEM BASED ON IMPROVED ANT COLONY OPTIMISATION AND NODE VECTOR TIME WINDOW, 334-349.

Xi’ai Chen, Fantong Wang, Suan Xu, Binrui Wang

Jan 1, 2025

International Journal of Robotics and Automation

Advanced Manufacturing and Logistics Optimization

article

MULTI-AGV PATH PLANNING FOR AUTOMATED WAREHOUSE SYSTEM BASED ON IMPROVED ANT COLONY OPTIMISATION AND NODE VECTOR TIME WINDOW, 334-349.

Xi’ai Chen, Fantong Wang, Suan Xu, Binrui Wang

January 1, 2025article en

Abstract

International Journal of Robotics and AutomationVol. 40(5)

Openalex Percentile: Top 80%

Advanced Manufacturing and Logistics Optimization

DOI Source OpenAlex

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MULTI-AGV PATH PLANNING FOR AUTOMATED WAREHOUSE SYSTEM BASED ON IMPROVED ANT COLONY OPTIMISATION AND NODE VECTOR TIME WINDOW, 334-349. — Xi’ai Chen, Fantong Wang, et al. · International Journal of Robotics and Automation (2025) | TGRS Research Map | TGRS