Evolutionary Algorithms in Transport Planning

Abstract

The thesis deals with the optimization and scheduling problems and does not focus on an arguing about how efficient search algorithms are from economy perspective, but to develop one. The result will be verified the idea of artificial intelligence, actually develop genetic algorithm and apply it on known problems related with this area such as Traveling Salesman Problem. Test the behavior of the genetic algorithm when an input variables are changed in permitted range. All simulations and tests were done by developed application.