Results 71 to 80 of about 6,468,160 (286)
Simple Switch between Single Trip Vehicle Routing Problem and Multiple Trip Vehicle Routing Problem
Complexity of the mathematical model development for vehicle routing problems increases with the addition of more variables, constraints, and instances to single trip vehicle routing models.
Samarakkody Thakshila
doaj +1 more source
Iterative Selection of DNA Nanostructures for Cellular Uptake
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar +4 more
wiley +1 more source
A Multi-Stage Algorithm for a Capacitated Vehicle Routing Problem with Time Constraints
The Vehicle Routing Problem (VRP) is one of the most optimized tasks studied and it is implemented in a huge variety of industrial applications. The objective is to design a set of minimum cost paths for each vehicle in order to serve a given set of ...
Lucia Cassettari +4 more
doaj +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 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
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
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
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
Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang +5 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

