Planning human call center agent schedules requires manual effort. Assembled aims to streamline that while factoring in digital labor.

Abstract: To address the limitations of slow convergence, low accuracy, and local optima entrapment in the Archimedes Optimization Algorithm (AOA), we propose a multi-strategy enhanced ...

Abstract: Task scheduling algorithms have consistently been the foundation of parallel testing technology, particularly in the domain of control systems. The complexity of testing tasks in these ...

This project is a reference implementation of the method proposed in the paper "Mastering Othello with genetic algorithm and reinforcement learning". The implementation presents an efficient learning ...