Application of a fuzzy ant colony system to solve the dynamic vehicle routing problem with uncertain service time

DOI10.1016/j.apm.2016.06.025zbMath1443.90043OpenAlexW2460653190MaRDI QIDQ2281749

R. J. Kuo, B. S. Wibowo, Ferani E. Zulvia

Publication date: 6 January 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2016.06.025

zbMATH Keywords

fuzzy setmeta-heuristicsant colony systemdynamic vehicle routing

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Mathematical modeling or simulation for problems pertaining to operations research and mathematical programming (90-10)

Related Items (3)

Block-matrix-based approach for the vehicle routing problem with transportation type selection under an uncertain environment ⋮ Environmental and social implications of incorporating carpooling service on a customized bus system ⋮ Dynamic path optimization in sharing mode to relieve urban traffic congestion

Uses Software

• VRP
• HAS-QAP

Cites Work

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