This study describes the genetic algorithm method that is most commonly used in search and optimization studies with solution approach of the asymmetric travelling salesman problem, which is the leading problem of the complex problems and a different model of the traveling salesman problem. The proposed system has been put forward the test results and the system has been shown to provide an acceptable period of time with an effective solution environment.