Multi-Agent Travelling Salesman Problem also known as MTSP, which consists of at least two salesmen and a specific number of cities (city # > agent #), extends the issue of classical travelling salesman problem (TSP). Under the conditions of a set of cities, a starting point, where all salesman or agents are, and a cost measure, the objective is to determine combinatorial routes for all agents, minimizing the total cost of M routes. A general genetic algorithm (GA) based in the polar coordinate system is introduced to solve MTSP in this paper. The main structure focuses on making sub problems. The paper will address how GA can solve MTSP by dividing it into many TSPs, and how solution time scales with various variables such as population size and generation.