Results 121 to 130 of about 29,524 (312)
Parameterized Complexity of Vehicle Routing
The Vehicle Routing Problem (VRP) is a popular generalization of the Traveling Salesperson Problem. Instead of one salesperson traversing the entire weighted, undirected graph $G$, there are $k$ vehicles available to jointly cover the set of clients $C \subseteq V(G)$.
Michelle Döring +8 more
openaire +3 more sources
On the heterogeneous vehicle routing problem under demand uncertainty [PDF]
In this paper we study the heterogeneous vehicle routing problem under demand uncertainty, on which there has been little research to our knowledge. The focus of the paper is to provide a strong formulation that also easily allows tractable robust and ...
Galli, Laura +2 more
core
Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov +2 more
wiley +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
A savings based method for real-life vehicle routing problems
This paper describes a Savings Based algorithm for the Extended Vehicle Routing Problem. This algorithm is compared with a Sequential Insertion algorithm on real-life data.
Wagelmans, A.P.M., Poot, A., Kant, G.
core
A Column Generation Approach to the Capacitated Vehicle Routing Problem with Stochastic Demands [PDF]
In this article we introduce a new exact solution approach to the Capacitated Vehicle Routing Problem with Stochastic Demands (CVRPSD). In particular, we consider the case where all customer demands are distributed independently and where each customer’s
Christiansen, Christian H. +1 more
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
In multi-hop routing of 5G vehicle network, node movement and link failure often lead to frequent changes in network topology, which in turn cause delay and packet loss problems.
Shengxia Tan, Xianshuang Zong, Feng Xiao
doaj +1 more source
Planning and Scheduling Transportation Vehicle Fleet in a Congested Traffic Environment [PDF]
Transportation is a main component of supply chain competitiveness since it plays a major role in the inbound, inter-facility, and outbound logistics. In this context, assigning and scheduling vehicle routing is a crucial management problem.
KERBACHE, Laoucine, VAN WOENSEL, Tom
core
A Time Limited Vehicle Routing Problem
A vehicle routing problem is a classical problem in operation research consisting in delivery routes optimization in communications network containing depot of all routes and a given number of cities, which is necessary to include in delivery routes. The
Jan Pelikan
core +1 more source

