Abstract: Economic dispatch problems (EDPs), as a basic issue of smart grids, have appealed to a wide range of research interests owing to the expansion of network scales and the increase of system ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: A new Initial Orbit Determination (IOD) method for angles-only observations is presented. This method is based on an adaptive Nelder-Mead simplex optimization technique for fusion of ...

[This repository accomponanies the Trace paper. It is a fully functional implementation of the platform for generative optimization described in the paper, and contains code necessary to reproduce the ...

Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...

Please note: If you switch to a different device, you may be asked to login again with only your ACS ID. Please note: If you switch to a different device, you may be asked to login again with only ...