Abstract:
This thesis explores the application of Particle Swarm Optimization (PSO) to solve the Capacitated
Vehicle Routing Problem (CVRP). The proposed PSO-based approach demonstrates
superior performance in terms of solution quality and computational efficiency compared to existing
methods. The findings highlight the potential of PSO as an effective tool for addressing
complex combinatorial optimization problems like the CVRP, with implications for real-world
transportation and logistics applications
