Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and comprehensive ...

Abstract: Federated learning (FL) is a powerful distributed machine learning framework where a server aggregates models trained by different clients without accessing their private data. Hierarchical ...

This project explores drone navigation in both simulated and real-world environments using two popular pathfinding algorithms: A* and Bellman-Ford. The implementation demonstrates the application of ...