[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something much cooler.

Description This project implements a Genetic Algorithm (GA) for solving optimization problems. It features a user-friendly graphical interface where users can configure algorithm parameters such as ...

This project implements a Genetic Algorithm (GA) to optimize parameters of technical trading strategies. It systematically evolves combinations of indicator parameters (like RSI, MA, ATR, etc.) to ...

Abstract: In social network analysis, the opinion maximization (OM) problem aims to locate several nodes as a seed set, which starts the information propagation and achieves the most positive opinion ...

Abstract: The Multi-Travelling Salesman Problem (mTSP) provides a fundamental mathematical framework for modelling the complexities of effective and optimised multi-UAV path planning and for ...

[Kory] has been writing genetic algorithms for a few months now. This in itself isn’t anything unique or exceptional, except for what he’s getting these genetic algorithms to do. [Kory] has been using ...