IEEE

A Reinforcement Learning Embedded Surrogate Lagrangian Relaxation Method for Fast Solving Unit Commitment Problems

Abstract: Unit commitment problems are operation optimization problems solved by independent system operators (ISOs). These problems generally need to be solved within a limited time, and the quality ...
IEEE

Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach

Abstract: The utilization of neural network models for solving combinatorial optimization problems (COPs) has gained significant attention in recent years and has demonstrated encouraging outcomes in ...
SciELO

Scientific breakthroughs in the COVID-19 era: embracing Ernst Mayr towards an epistemic renewal of Medicine

The present study examines the development of medical science during the COVID-19 pandemic in light of Ernst Mayr's critique of Thomas Kuhn's philosophy of scientific revolutions. Kuhn's model, which ...
Frontiers

Resilience optimization and dynamic stability defense in active distribution networks under extreme disasters: a graph learning and cooperative control approach

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...
Lifehacker

CES 2026: These Smart Glasses Can Help Some People See Even Better Than Normal Glasses

Beth Skwarecki is Lifehacker’s Senior Health Editor, and holds certifications as a personal trainer and weightlifting coach. She has been writing about health for over 10 years. eSight Go is made for ...