This paper defines a new combinatorial optimization problem, namely General Combinatorial Optimization Problem (GCOP), whose decision variables are a set of parametric algorithmic components, i.e.

Several variants of evolutionary algorithms (EAs) have been applied to solve the project scheduling problem (PSP), yet their performance highly depends on design choices for the EA. It is still ...

As electrification accelerates across sectors, the demand for more efficient, high-performance electric motors is intensifying. At the forefront of this transition is Monumo, a U.K. deep-tech company ...

🛰️ An interactive visual simulator that models internet packet flow across a custom network using max-flow algorithms. It helps analyze routing efficiency using Dinic, Edmonds-Karp, Goldberg-Tarjan , ...

Algorithm streamlines vascular system design for 3D printed hearts by Laura Castañón, Stanford University edited by Robert Egan Editors' notes ...

⭐ If you like this, please give the repo a star – it helps! Check our demo on Colab The fully-open successor to Google DeepMind’s AlphaEvolve for automated algorithm discovery. First released 📅 Nov ...