Cyber-physical logistics system-based vehicle routing optimization | Zendy

Mingyong Lai | Zendy; Hongming Yang | Zendy; Songping Yang | Zendy; Junhua Zhao | Zendy; Yan Xu | Zendy

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Cyber-physical logistics system-based vehicle routing optimization

Author(s) -

Mingyong Lai,

Hongming Yang,

Songping Yang,

Junhua Zhao,

Yan Xu

Publication year - 2013

Publication title -

journal of industrial and management optimization

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.325

H-Index - 32

eISSN - 1553-166X

pISSN - 1547-5816

DOI - 10.3934/jimo.2014.10.701

Subject(s) - computer science , vehicle routing problem , routing (electronic design automation) , static routing , genetic algorithm , multipath routing , equal cost multi path routing , mathematical optimization , operations research , computer network , routing protocol , engineering , machine learning , mathematics

Vehicle routing problem is a classic combinational optimization problem, which has been attracting research attentions in logistics and optimization area. Conventional static vehicle routing problem assumes the logistics information is accurate and timely, and does not take into account the uncertainties, which is therefore inadequate during practical applications. In this paper, a vehicle initial routing optimization model considering uncertainties is proposed, the vehicle capacity, customer time-window, and the maximum travelling distance as well as the road capacity are considered. In the cyber-physical logistics system background, a routing adjustment model is proposed to minimize the total distribution cost considering the road congestion, and the static and dynamic models are proposed for traffic information transmission network to quantitatively analyse the impact of the traffic information transmission delay on the vehicle routing optimization. The learnable genetic algorithm is adopted to solve the initial routing optimization model and the routing adjustment model. The simulation results have verified its effectiveness

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