A review on the electric vehicle routing problems: Variants and algorithms [PDF]
Over the past decade, electric vehicles (EVs) have been considered in a growing number of models and methods for vehicle routing problems (VRPs). This study presents a comprehensive survey of EV routing problems and their many variants.
Qin H, Su X, Ren T, Luo Z.
europepmc +2 more sources
Benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths [PDF]
In this paper, the benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths is presented (AC-VRP-SPDVCFP). This problem is a specific multi-attribute variant of
Eneko Osaba
doaj +4 more sources
Combining a hierarchical task network planner with a constraint satisfaction solver for assembly operations involving routing problems in a multi-robot context [PDF]
This work addresses the combination of a symbolic hierarchical task network planner and a constraint satisfaction solver for the vehicle routing problem in a multi-robot context for structure assembly operations.
Jorge Muñoz-Morera+3 more
doaj +2 more sources
Generating large-scale real-world vehicle routing dataset with novel spatial data extraction tool. [PDF]
This study delves into the critical need for generating real-world compatible data to support the application of deep reinforcement learning (DRL) in vehicle routing.
Hina Ali, Khalid Saleem
doaj +2 more sources
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem [PDF]
Capacitated Vehicle routing problem is NP-hard scheduling problem in which the main concern is to find the best routes with minimum cost for a number of vehicles serving a number of scattered customers under some vehicle capacity constraint.
Lamees Mohammad Dalbah+3 more
doaj +2 more sources
A novel optimization method for hazardous materials vehicle routing with temperature-based time windows [PDF]
As a concrete achievement of sharing economy, sharing intermediate bulk containers (IBCs) have emerged and developed in recent years. Meanwhile, high temperature is one of the essential factors in routing optimal problems for vehicles with hazardous ...
Lu Ding+4 more
doaj +3 more sources
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem [PDF]
Existing deep reinforcement learning (DRL)-based methods for solving the capacitated vehicle routing problem (CVRP) intrinsically cope with a homogeneous vehicle fleet, in which the fleet is assumed as repetitions of a single vehicle. Hence, their key to
Jingwen Li+6 more
semanticscholar +1 more source
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems [PDF]
We present a novel deep reinforcement learning method to learn construction heuristics for vehicle routing problems. In specific, we propose a Multi-Decoder Attention Model (MDAM) to train multiple diverse policies, which effectively increases the chance
Liang Xin+3 more
semanticscholar +1 more source
Time-Windowed Vehicle Routing Problem: Tabu Search Algorithm Approach
Vehicle routing problem (VRP); it is defined as the problem of planning the best distribution or collection routes of the vehicles assigned to serve the scattered centers from one or more warehouses in order to meet the demands of the customers.
Hasibe Berfu Demir+2 more
doaj +1 more source
The NR-EGA for the EVRP Problem with the Electric Energy Consumption Model
Nowadays, in researches on electric vehicle routing problems, in order to improve the delivery efficiency and reduce the routing cost, many important elements are broad discussed such as the customer time window, the routing algorithm, the electric ...
Yanfei Zhu, Chunhui Li, Kwang Y. Lee
doaj +1 more source