paper titled “Optimizing Vehicle Routing Problem using Kepler Optimization Algorithm”

Our paper titled “Optimizing Vehicle Routing Problem using Kepler Optimization Algorithm” was presented at the conference hosted by Nile University and will soon be published in IEEE .

Throughout this work, we explored how the Kepler Optimization Algorithm (KOA)—a physics-inspired metaheuristic—can effectively solve the Vehicle Routing Problem with Time Windows (VRPTW). Using the Solomon benchmark dataset, our algorithm achieved superior results compared to other well-known methods such as Simulated Annealing (SA), Grey Wolf Optimizer (GWO), Moth-Flame Optimization (MFO), and Particle Swarm Optimization (PSO).

? The results demonstrated that KOA consistently produced the lowest total cost, faster convergence, and higher-quality routes , proving its strength and scalability in solving complex real-world optimization problems.

This project took months of effort, testing, and late-night discussions — but seeing our hard work pay off has been truly rewarding. We learned not only about algorithms and optimization but also about teamwork, persistence, and the value of continuous learning.