Planning of truck platoons: A literature review and directions for future research
A truck platoon is a set of virtually linked trucks that drive closely behind one another using
automated driving technology. Benefits of truck platooning include cost savings, reduced …
automated driving technology. Benefits of truck platooning include cost savings, reduced …
Survey of green vehicle routing problem: past and future trends
Green Logistics has emerged as the new agenda item in supply chain management. The
traditional objective of distribution management has been upgraded to minimizing system …
traditional objective of distribution management has been upgraded to minimizing system …
Reinforcement learning for solving the vehicle routing problem
We present an end-to-end framework for solving the Vehicle Routing Problem (VRP) using
reinforcement learning. In this approach, we train a single policy model that finds near …
reinforcement learning. In this approach, we train a single policy model that finds near …
Partial recharge strategies for the electric vehicle routing problem with time windows
Abstract The Electric Vehicle Routing Problem with Time Windows (EVRPTW) is an
extension to the well-known Vehicle Routing Problem with Time Windows (VRPTW) where …
extension to the well-known Vehicle Routing Problem with Time Windows (VRPTW) where …
The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion
The green vehicle routing and scheduling problem (GVRSP) aims to minimize green-house
gas emissions in logistics systems through better planning of deliveries/pickups made by a …
gas emissions in logistics systems through better planning of deliveries/pickups made by a …
Rich vehicle routing problem: Survey
The Vehicle Routing Problem (VRP) is a well-known research line in the optimization
research community. Its different basic variants have been widely explored in the literature …
research community. Its different basic variants have been widely explored in the literature …
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …
different from that of classical computers in terms of speed and methods of operations. This …
[HTML][HTML] A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems
B Toaza, D Esztergár-Kiss - Applied Soft Computing, 2023 - Elsevier
Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …
salesman problem intending to optimize people schedules considering their trips and the …
A hybrid of deep reinforcement learning and local search for the vehicle routing problems
Different variants of the Vehicle Routing Problem (VRP) have been studied for decades.
State-of-the-art methods based on local search have been developed for VRPs, while still …
State-of-the-art methods based on local search have been developed for VRPs, while still …
[图书][B] Handbook of constraint programming
Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …
that draws on a wide range of techniques from artificial intelligence, computer science …