Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Frontiers

Enhancing Fast Neutron Irradiation in Thermal Neutron Spectrum Reactors Through Python-Based Multi-Objective Optimization

The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...
IEEE

An Efficient Method for Solving the Traveling Salesman Problem Using Modern Optimization Algorithms

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
IEEE

A Comprehensive Review of Transformer Design Optimization Using Evolutionary Algorithms: Advances, Challenges, and Future Directions

Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
GitHub

elcaiseri/OpenFPL-Scout-AI

OpenFPL-Scout-AI is an AI-powered Fantasy Premier League Scout that uses ensemble machine learning (Linear Regression, XGBoost, CatBoost) to predict player points and optimize FPL team selection. It ...