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 ...

Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
IEEE

Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning

Abstract: In this paper, we study the handover (HO), and power allocation problem in a two-tier heterogeneous network (HetNet), which consists of a macro base station, and some millimeter-wave (mmWave ...
IEEE

Dynamic Task Assignment of Multiple Heterogeneous Autonomous Aerial Vehicles Based on Consensus With Uncertainties

Abstract: This study addresses the problem of maximizing the task-assignment reward of a fleet of heterogeneous autonomous aerial vehicles (AAVs) in a dynamic reconnaissance and confirmation task in ...