Robust Dynamic Multi-Objective Vehicle Routing Optimization Method

2018 ◽  
Vol 15 (6) ◽  
pp. 1891-1903 ◽  
Author(s):  
Yi-Nan Guo ◽  
Jian Cheng ◽  
Sha Luo ◽  
Dunwei Gong ◽  
Yu Xue
Keyword(s):  
Vehicle Routing ◽  
Optimization Method ◽  
Multi Objective ◽  
Routing Optimization ◽  
Vehicle Routing Optimization

scholarly journals Emergency logistics vehicle routing optimization based on insufficient supply

2019 ◽  
Vol 136 ◽  
pp. 04068
Author(s):  
Yina Yuan ◽  
Xiaoguang Zhou ◽  
Mengke Yang
Keyword(s):  
Vehicle Routing ◽  
Optimization Method ◽  
Decision Makers ◽  
Emergency Vehicle ◽  
Routing Problem ◽  
Routing Optimization ◽  
Theoretical Support ◽  
Emergency Logistics ◽  
The Face ◽  
Vehicle Routing Optimization

In the face of various emergencies, emergency logistics vehicles are required to meet the needs of the affected areas in a short enough time. However, due to the suddenness of the incident and the shortage of relief supplies, it is necessary to further consider how to optimize the route of emergency vehicles in case of insufficient supply. In this paper, when the supply point is insufficient, the emergency vehicle routing can be optimized in the shortest possible time and at the same time to meet the requirements of the disaster site. By establishing the corresponding mathematical model and using the genetic algorithm to solve the relevant examples, the new solution is provided for the emergency logistics vehicle routing problem when the relief materials are insufficient. According to the analysis results of the example, the effectiveness of the optimization method is further demonstrated, and theoretical support is provided for relevant decision makers.

scholarly journals Green Vehicle Routing Optimization Based on Carbon Emission and Multiobjective Hybrid Quantum Immune Algorithm

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xiao-Hong Liu ◽  
Mi-Yuan Shan ◽  
Ren-Long Zhang ◽  
Li-Hong Zhang
Keyword(s):  
Vehicle Routing ◽  
Carbon Emission ◽  
Optimal Allocation ◽  
Cloud Model ◽  
Research Problem ◽  
Optimization Method ◽  
Immune Algorithm ◽  
Practical Significance ◽  
Routing Optimization ◽  
Vehicle Routing Optimization

Green Vehicle Routing Optimization Problem (GVROP) is currently a scientific research problem that takes into account the environmental impact and resource efficiency. Therefore, the optimal allocation of resources and the carbon emission in GVROP are becoming more and more important. In order to improve the delivery efficiency and reduce the cost of distribution requirements through intelligent optimization method, a novel multiobjective hybrid quantum immune algorithm based on cloud model (C-HQIA) is put forward. Simultaneously, the computational results have proved that the C-HQIA is an efficient algorithm for the GVROP. We also found that the parameter optimization of the C-HQIA is related to the types of artificial intelligence algorithms. Consequently, the GVROP and the C-HQIA have important theoretical and practical significance.

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