Optimization of a genetic algorithm for road traffic network division using a distributed/parallel genetic algorithm

In this paper, a distributed/parallel genetic algorithm for the optimization of the parameters settings (e.g., the number of generations, the type of selection, etc.) of a genetic algorithm for the road traffic network division is described. Using this approach, new settings of the parameters of the dividing genetic algorithm were obtained. With these parameters, the dividing genetic algorithm yields better road traffic networks divisions than with the original parameters, which were set based on a preliminary testing. The distributed/parallel optimizing genetic algorithm is described in detail as well as its results and the following testing of the dividing genetic algorithm.