Prize-collecting Electric Vehicle routing model for parcel delivery problem
N Moradi, NM Boroujeni - Expert Systems with Applications, 2025 - Elsevier
Electric Vehicle (EV)-based parcel delivery is getting much more popular these days due to
EVs being eco-friendly and sustainable. One well-known problem in the literature to study …
EVs being eco-friendly and sustainable. One well-known problem in the literature to study …
Deep Reinforcement Learning Enabled Multi-UAV Scheduling for Disaster Data Collection With Time-Varying Value
The congestion and disruption of information infrastructures frequently happen during
disasters, which would hinder the understanding of disaster scenarios, and thus impede …
disasters, which would hinder the understanding of disaster scenarios, and thus impede …
Exploring the sensing power of mixed vehicle fleets
Vehicle-based mobile sensing, also known as drive-by sensing, efficiently surveys urban
environments at low costs by leveraging the mobility of urban vehicles. While recent studies …
environments at low costs by leveraging the mobility of urban vehicles. While recent studies …
A Sim-Learnheuristic for the Team Orienteering Problem: Applications to Unmanned Aerial Vehicles
In this paper, we introduce a novel sim-learnheuristic method designed to address the team
orienteering problem (TOP) with a particular focus on its application in the context of …
orienteering problem (TOP) with a particular focus on its application in the context of …
[HTML][HTML] The Capacitated Team Orienteering Problem: An online optimization framework with predictions of unknown accuracy
Abstract The Capacitated Team Orienteering Problem (CTOP) is a challenging
combinatorial optimization problem, wherein a fleet of vehicles traverses multiple locations …
combinatorial optimization problem, wherein a fleet of vehicles traverses multiple locations …
New formulations for the robust vehicle routing problem with time windows under demand and travel time uncertainty
We present new formulations for the robust vehicle routing problem with time windows
(RVRPTW) under cardinality-and knapsack-constrained demand and travel time uncertainty …
(RVRPTW) under cardinality-and knapsack-constrained demand and travel time uncertainty …
A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks
Grassland monitoring is essential for the sustainable development of grassland resources.
Traditional Internet of Things (IoT) devices generate critical ecological data, making data …
Traditional Internet of Things (IoT) devices generate critical ecological data, making data …
Competitive Facility Location under Random Utilities and Routing Constraints
In this paper, we study a facility location problem within a competitive market context, where
customer demand is predicted by a random utility choice model. Unlike prior research, which …
customer demand is predicted by a random utility choice model. Unlike prior research, which …
[图书][B] Compact formulations for the robust vehicle routing problem with time windows under demand and travel time uncertainty
CIRRELT-2022-34 Page 1 CIRRELT-2022-34 Compact Formulations for the Robust Vehicle
Routing Problem with Time Windows under Demand and Travel Time Uncertainty Rafael …
Routing Problem with Time Windows under Demand and Travel Time Uncertainty Rafael …
A two-stage approach to the multiple-agent orienteering problem with stochastic weight and capacity constraints
X Liu, XG Luo, Z Zhang, Y Hu, H Hang - 2023 - researchsquare.com
Abstract The Multiple-Agent Orienteering Problem with Capacity Constraints (MAOPCC) is
one kind of routing problem that finds applications in both tourism and transportation …
one kind of routing problem that finds applications in both tourism and transportation …