车辆路径优化问题及求解方法研究综述.
庞燕， 罗华丽， 邢立宁， 任腾 - Control Theory & Applications …, 2019 - search.ebscohost.com
车辆路径优化问题一直以来是物流研究领域的一个热点和难点. 现实生活的许多问题都可看作是
车辆路径问题(VRP), 因此国内外学者近年来不断提出多种车辆路径优化问题及求解方法以解决 …
车辆路径问题(VRP), 因此国内外学者近年来不断提出多种车辆路径优化问题及求解方法以解决 …
A two-stage algorithm for bi-objective logistics model of cash-in-transit vehicle routing problems with economic and environmental optimization based on real-time …
Traffic congestion problems are very common in large municipalities, especially in areas
with karst features. Traffic jams happen in many key traffic nodes (such as the bridges across …
with karst features. Traffic jams happen in many key traffic nodes (such as the bridges across …
[HTML][HTML] Multi-objective home health care routing: a variable neighborhood search method
Health and convenience are two indispensable indicators of the society promotion.
Nowadays, to improve community health levels, the comfort of patients and those in need of …
Nowadays, to improve community health levels, the comfort of patients and those in need of …
A variable neighborhood search approach for solving a real-world hierarchical multi-echelon vehicle routing problem involving HCT vehicles
This paper studies the Hierarchical Multi-Switch Multi-Echelon VRP (HMSME-VRP), a newly
introduced VRP variant based on a real-world case involving High Capacity Vehicles (HCV) …
introduced VRP variant based on a real-world case involving High Capacity Vehicles (HCV) …
Introduction to learning automata models
A Rezvanian, B Moradabadi, M Ghavipour… - … Automata Approach for …, 2019 - Springer
Learning automaton (LA) as one of artificial intelligence techniques is a stochastic model
operating in the framework of the reinforcement learning. LA has been found to be a useful …
operating in the framework of the reinforcement learning. LA has been found to be a useful …
Platform-based stable truck matching problem with trailer-swapping mode
W Peng, X Chen, Z Xue, Y Liao, J You - Transportation Research Part E …, 2024 - Elsevier
This study investigates the platform-based stable truck-matching problem with trailer-
swapping mode (STMP-TSM). The TSM is a novel collaborative transportation approach in …
swapping mode (STMP-TSM). The TSM is a novel collaborative transportation approach in …
[HTML][HTML] A Hybrid Clustered Ant Colony Optimization Approach for the Hierarchical Multi-Switch Multi-Echelon Vehicle Routing Problem with Service Times
M Tadaros, NA Kyriakakis - Computers & Industrial Engineering, 2024 - Elsevier
In this paper, the Hierarchical Multi Switch Multi Echelon Vehicle Routing Problem with
Service Times (HMSME-VRP-ST) is presented. This novel problem considers distribution …
Service Times (HMSME-VRP-ST) is presented. This novel problem considers distribution …
Study of variable neighborhood descent and tabu search algorithm in VRPSDP
Y Christopher, S Wahyuningsih… - Journal of Physics …, 2021 - iopscience.iop.org
The application of graph theory can be used to solve distribution optimization problems,
especially the Vehicle Routing Problems (VRP). One variant of VRP is the Vehicle Routing …
especially the Vehicle Routing Problems (VRP). One variant of VRP is the Vehicle Routing …
Meta-heuristics and artificial intelligence
Meta-heuristics are generic search methods that are used to solve challenging
combinatorial problems. We describe these methods and highlight their common features …
combinatorial problems. We describe these methods and highlight their common features …
Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization
This study investigates the application of reinforcement learning for the adaptive tuning of
neighborhood probabilities in stochastic multi-neighborhood search. The aim is to provide a …
neighborhood probabilities in stochastic multi-neighborhood search. The aim is to provide a …