Results 71 to 80 of about 116,019 (342)
The Inventory Routing Problem with Priorities and Fixed Heterogeneous Fleet
This paper presents a new combinatorial optimization problem, the inventory routing problem with priorities, and a fixed heterogeneous fleet. In this problem, a particular set of customers has to be served before the rest of the customers using vehicles ...
Paulina A. Avila-Torres +2 more
doaj +1 more source
CAPACITATED VEHICLE ROUTING PROBLEM
Cost of transportation of goods and services is an interesting topic in today’s society. The Capacitated vehicle routing problem, which is been consider in this research, is one of the variants of the vehicle routing problem. In this research we develop a reinforcement learning technique to find optimal paths from a depot to the set of customers while
A.A, Ibrahim +3 more
openaire +2 more sources
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
Stochastic Approach to Vehicle Routing Problem: Development and Theories
Stochastic Approach to Vehicle Routing Problem: Development and Theories Abstract In this article, a chance constrained (CCP) formulation of the Vehicle Routing Problem (VRP) is proposed.
Yahia Zare Mehrjerdi
doaj
Advanced Planning Concepts in the Closed-Loop Container Network of ARN [PDF]
In this paper we discuss a real-life case study in the optimization of the logistics network for the collection of containers from end-of-life vehicle dismantlers in the Netherlands.Advanced planning concepts like dynamic assignment of dismantlers to ...
Blanc, H.M. le +3 more
core +1 more source
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
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Acute brain injuries are characterized by extensive tissue damage, resulting in debilitating deficits in patients. Despite considerable progress, cell‐based approaches have yet to identify an ideal candidate. This long‐term study explores the use of an untested cell source – human enteric glia – and a non‐invasive administration route – intranasal ...
Nina Colitti +11 more
wiley +1 more source
In this work, we extend the time-dependent vehicle routing problem with time windows on a road network by considering two types of vehicles, large and small, to serve customers.
Fernando O. Guillen Reyes +2 more
doaj +1 more source
Stochastic time-dependent vehicle routing problem: Mathematical models and ant colony algorithm
This article addresses the stochastic time-dependent vehicle routing problem. Two mathematical models named robust optimal schedule time model and minimum expected schedule time model are proposed for stochastic time-dependent vehicle routing problem ...
Zhengyu Duan +3 more
doaj +1 more source

