Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Tech Xplore

Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
IEEE

Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework

Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...
IEEE

Probabilistic Line-of-Sight Based Non-Orthogonal Channels Access: Modeling and Optimization

Abstract: In this paper, we investigate the problem of scene modeling and distributed channel selection optimization with non-orthogonal channels. Aiming at scene modeling, we propose a probabilistic ...
Mass Transit

Wheel-Rail Profile Optimization through Vehicle Modeling on Vancouver’s SkyTrain

The SkyTrain currently operates a fleet that includes three generations of cars: the Mk I, Mk II and Mk III. Vancouver’s SkyTrain has a well-documented history of wheel and rail optimization projects.
Bleacher Report

WWE's Growing Problem Blurring the Lines of Heels and Babyfaces

The blurring of the line between heels and babyfaces in WWE has become a growing problem, with the top of the card on both Raw and SmackDown dominated by Superstars operating in shades of grey. While ...