@article{Szlapczynski_2010_2, author = {Szlapczynski, Rafal}, title = {Evolutionary Sets of Cooperating Trajectories in Multi-Ship Encounter Situations - Use Cases}, journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation}, volume = {4}, number = {2}, pages = {191-196}, year = {2010}, url = {./Article_Evolutionary_Sets_of_Cooperating_Szlapczynski,14,220.html}, abstract = {The paper discusses the advantages of a new approach to solving ship encounter situations by combining some of the assumptions of game theory with evolutionary programming techniques. A multi-ship encounter is here modeled as a game played by ?thinking players? ? the ships of different and possibly changing strategies. The solution ? an optimal set of cooperating (non-colliding) trajectories is then found by means of evolutionary algorithms. The paper contains the results obtained for different cases of situations including open waters and restricted water regions and the discussion of these results. The already developed version of the method is fast enough to be applied in the real time on-board collision avoidance systems or VTS systems.}, issn = {2083-6473}, publisher = {Gdynia Maritime University, Faculty of Navigation}, keywords = {Route Planning, Multi-Ship Encounter Situation, Evolutionary Set, Evolutionary Algorithms, Ship's Trajectory, Colregs, Simulation} }