This paper presents an educational tool for visualizing genetic algorithm solutions for the Traveling Salesman Problem. It emphasizes the educational significance of genetic algorithms, particularly for understanding complex optimization processes. The tool, developed as a web-based application, provides an interactive experience to explore the algorithm's approach to the problem. The application graphically represents the evolution of solutions over generations, offering insights into the algorithm's convergence and effectiveness. Key features include visualizations of the fitness evolution, optimal solutions, and the entire solution population, enhancing comprehension of the algorithmic processes and decision-making in optimization challenges.