IEEE

Distributed Real-Time Optimization for UAV-Based MIMO Communication System With Dynamic Cooperative Performance Adaptation

Abstract: This paper proposes a real-time dynamic optimization algorithm and controller design for a multi-node UAV-based distributed communication system, leveraging the phase and energy ...
IEEE

Tight Bounds on Polynomials and Its Application to Dynamic Optimization Problems

Abstract: This paper presents a pseudo-spectral method for Dynamic Optimization Problems (DOPs) that allows for tight polynomial bounds to be achieved via flexible sub-intervals. The proposed method ...
Frontiers

Optimization of time-varying load dynamic response of industrial robot PLC system based on improved model reference adaptive control

In the process of industrial automation, industrial robots are widely used in complex operations such as welding, assembly, and handling. The dynamic response performance under time-varying load ...
blockchain

NVIDIA cuOpt Solver Cracks Four Previously Unsolved Optimization Problems

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...