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Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey
Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …
significant market potential. UAVs may lead to substantial cost savings in, for instance …
Planning and decision-making for autonomous vehicles
In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
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 …
[HTML][HTML] Dynamic stochastic electric vehicle routing with safe reinforcement learning
Dynamic routing of electric commercial vehicles can be a challenging problem since
besides the uncertainty of energy consumption there are also random customer requests …
besides the uncertainty of energy consumption there are also random customer requests …
A bilevel ant colony optimization algorithm for capacitated electric vehicle routing problem
The development of electric vehicle (EV) techniques has led to a new vehicle routing
problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited …
problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited …
Recent dynamic vehicle routing problems: A survey
Technological advances in the last two decades have aroused great interest in the class of
dynamic vehicle routing problems (DVRPs), which is reflected in the significant growth of the …
dynamic vehicle routing problems (DVRPs), which is reflected in the significant growth of the …
A survey of models and algorithms for optimizing shared mobility
The rise of research into shared mobility systems reflects emerging challenges, such as
rising traffic congestion, rising oil prices and rising environmental concern. The operations …
rising traffic congestion, rising oil prices and rising environmental concern. The operations …
Trends in transportation and logistics
MG Speranza - European journal of operational research, 2018 - Elsevier
Problems in transportation and logistics had to be tackled long before computers and
Operational Research (OR) became available to support decision making. After the first …
Operational Research (OR) became available to support decision making. After the first …
Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests
Motivated by the growth of ridesourcing services and the expected advent of fully-
autonomous vehicles (AVs), this paper defines, models, and compares assignment …
autonomous vehicles (AVs), this paper defines, models, and compares assignment …
[KNYGA][B] Basics of supply chain and operations management
D Ivanov, A Tsipoulanidis, J Schönberger, D Ivanov… - 2021 - Springer
This chapter introduces global supply chain and operations management. The underlying
issues related to the transformation process (es) and value creation are analyzed. The terms …
issues related to the transformation process (es) and value creation are analyzed. The terms …