Abstract: In this work, a new strategy based on dynamic programming is proposed to solve the power flow (PF) problem in radial distribution systems using the backward/forward sweep method (BFSM). The ...
Abstract: This paper addresses a real-life stochastic car batching and sequencing problem in the body shop of a vehicle plant. Unlike previous research on similar problems in the paint shop or ...
OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...
Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...
Here’s a new axiom fit for the 21st century: The greater the global challenge, the more likely it is to fall to local governments to fix. But this modern reality comes with an inconvenient truth: Our ...
We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...
‘I think, therefore I am.’ ‘I google, therefore I think.’ Not sure that Descartes would agree with this. Search engines are not as omniscient as many people may think - as anything powered by AI is ...
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