Applying the Harmony Search Algorithm to Combinatorial Optimization Problems
The Harmony Search Algorithm (HSA) is a metaheuristic inspired by the musical composition process that is used to solve complex optimization problems. This study provides a detailed exploration of the application of HSA to classical combinatorial optimization problems, including the Traveling Salesman Problem (TSP), the Quadratic Assignment Problem (QAP), and the Vehicle Routing Problem (VRP). The results demonstrate that HSA is an effective method for finding high-quality solutions, even for large-scale instances. This study also presents an in-depth analysis of HSA