Accelerating the stabilized column generation using machine learning
P Sarkar, VB Khanapuri, MK Tiwari - Computers & Industrial Engineering, 2025 - Elsevier
Column Generation (CG) is a well-established methodology for tackling large-scale real-
world optimization problems. Nevertheless, as problem sizes increase, challenges like long …
world optimization problems. Nevertheless, as problem sizes increase, challenges like long …
Matheuristics for a multi-day electric bus assignment and overnight recharge scheduling problem
To limit greenhouse gas emissions in the public transportation sector, transit authorities are
constantly increasing the proportion of electric buses (EBs) in their fleets. Due to space and …
constantly increasing the proportion of electric buses (EBs) in their fleets. Due to space and …
MERCI: Multi-agent reinforcement learning for enhancing on-demand Electric taxi operation in terms of Rebalancing, Charging, and Informing Orders
The development of intelligent transportation systems is being driven by the increasing
electrification and the Internet of Things. On-demand electric taxis (OETs) are seen as a …
electrification and the Internet of Things. On-demand electric taxis (OETs) are seen as a …
Electric Vehicle Scheduling in Public Transit with Capacitated Charging Stations
MH de Vos, RN van Lieshout… - Transportation …, 2024 - pubsonline.informs.org
This paper considers the scheduling of electric vehicles in a public transit system. Our main
innovation is that we take into account that charging stations have limited capacity, while …
innovation is that we take into account that charging stations have limited capacity, while …
Layered Graph Models for the Electric Vehicle Routing Problem With Nonlinear Charging Functions
Electric vehicle routing problems (EVRPs) involve the routing of a fleet of electric vehicles
(EVs) to visit a set of customers while typically minimizing the total travel and charging time …
(EVs) to visit a set of customers while typically minimizing the total travel and charging time …
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
The classic Resource Constrained Shortest Path (RCSP) problem aims to find a cost optimal
path between a pair of nodes in a network such that the resources used in the path are …
path between a pair of nodes in a network such that the resources used in the path are …
A continuous approximation model for the electric vehicle fleet sizing problem
Establishing the size of an EV fleet is a vital decision for logistics operators. In urban
settings, this issue is often dealt with by partitioning the geographical area around a depot …
settings, this issue is often dealt with by partitioning the geographical area around a depot …
Network Flow Problems with Electric Vehicles
Electric vehicle (EV) adoption in long-distance logistics faces challenges such as range
anxiety and uneven distribution of charging stations. Two pivotal questions emerge: How …
anxiety and uneven distribution of charging stations. Two pivotal questions emerge: How …
Algorithmic solutions for emerging challenges in last-mile logistics
PS Klein - 2024 - mediatum.ub.tum.de
The logistics sector is experiencing a transformative era characterized by an unprecedented
increase in demand, a paradigm shift in customer service expectations, and a pressing need …
increase in demand, a paradigm shift in customer service expectations, and a pressing need …
David Shmoys¹, and Manxi Wu¹ 1 School of Operations Research and Information Engineering, Cornell University, Ithaca, USA {hp297, david. shmoys, manxiwu} …
H Pulyassary, K Kollias, A Schild - … , IPCO 2024, Wrocław, Poland, July 3 … - books.google.com
Electric vehicle (EV) adoption in long-distance logistics faces challenges such as range
anxiety and uneven distribution of charging stations. Two pivotal questions emerge: How …
anxiety and uneven distribution of charging stations. Two pivotal questions emerge: How …