Optimization of ship lock control system using swarm-based techniques

This paper presents the application of some well-known global optimization techniques in optimization of an expert system controlling a ship locking process. Optimization was conducted in order to achieve better results in local distribution of ship arrivals, i.e. lower waiting times for ships and less empty lockages. Particle swarm optimization, artificial bee colony optimization and genetic algorithm were used. The results shown in this paper confirmed that all these procedures show similar results and provide overall improvement of ship lock operation performance, which speaks in favor of their application in similar transportation problem optimization.