IEEE

Dynamic Job-Shop Scheduling Problems Using Graph Neural Network and Deep Reinforcement Learning

Abstract: The job-shop scheduling problem (JSSP) is one of the best-known combinatorial optimization problems and is also an essential task in various sectors. In most real-world environments, ...
IEEE

Solve Large-Scale Unit Commitment Problems by Physics-Informed Graph Learning

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...
NPR

Bumblebees have tiny brains but they can solve problems like chimps and elephants

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...
洗護用品和肥皂

Bangladesh: "Polluter pays" principle remains ineffective, recovering less than half of environmental damages imposed over last 16 years, experts claim

The existence of the “polluter pays” principle (PPP) in Bangladesh, at least on paper, dates back to 1992, ever since the country endorsed the Rio Declaration. However, Bangladesh has made little ...