Abstract: Traditional Ant Colony Optimization (T-ACO) algorithms often face challenges in dynamic environments, particularly the tendency to become trapped in local minima, resulting in suboptimal ...

Abstract: Ant colony optimization (ACO) is a random search algorithm based on probability calculation. However, the uninformed search strategy has a slow convergence speed. The Bayesian algorithm uses ...

This project addresses the 2025 CG:SHOP challenge, focusing on non-obtuse triangulation of planar straight-line graphs (PSLGs). Utilizing Delaunay triangulation and optimization algorithms, it aims to ...

Use these skills and tools to make the most of it. by Antonio Nieto-Rodriguez Quietly but powerfully, projects have displaced operations as the economic engine of our times. That shift has been a long ...

(CNN) — Researchers have uncovered an unusual survival strategy in Iberian harvester ants that turns basic biology on its head: The queens can produce eggs that develop into two different ant species.

This project provides a minimal, easy-to-understand codebase for fine-tuning Large Language Models. Our core philosophy is to explain complex optimization techniques with the simplest possible code.