Assignment:The optimization of route planning is a critical consideration that frequently happens in the logistics of product distribution. Write code in Python or Matlab software to address distribution issues, such as long trip distances, which result in high distribution costs $.$ The objective of this program is to increase distribution routes' effectiveness, which will enable them to minimize distance and lower the cost of product distribution. The Traveling Salesman Problem $($TSP$)$ can be resolved by using the Genetic Algorithm $($GA$)$ technique to optimize the path. Variations in crossover, mutation, and population were made when experimenting with GA$.$ The results of the program indicate that the overall distance traveled will decrease and that the cost of distributing the product will be reduced. This optimization technique has a favorable effect on the overall financial performance and competitiveness of businesses involved in comparable distribution operations, as well as improving operational efficiency and offering the possibility of cost savings.