Parameters influence on the performance of an Ant algorithm for safe ship trajectory planning

The paper presents the results of parameters influence evaluation on the performance of the safe ship trajectory planning algorithm utilizing Ant Colony Optimization (ACO). A brief description of the developed ACO based safe ship control algorithm is presented and results of simulation tests in three different environments are shown and summarized with regard to the influence of parameters settings on the algorithm convergence and computational time.