Željko Kanović
Department for Traffic Engineering
Faculty of Technical Sciences, University of Novi Sad
Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Vladimir Bugarski
Department for Traffic Engineering
Faculty of Technical Sciences, University of Novi Sad
Todor Bačkalić
Department for Traffic Engineering
Faculty of Technical Sciences, University of Novi Sad
This paper presents the comparison of some well-known global optimization techniques in optimization of an expert system controlling a ship locking process. The purpose of the comparison is to find the best algorithm for optimization of membership function parameters of fuzzy expert system for the ship lock control. Optimization was conducted in order to achieve better results in local distribution of ship arrivals, i.e. shorter waiting times for ships and less empty lockages. Particle swarm optimization, artificial bee colony optimization and genetic algorithm were compared. 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 favour of their application in similar transportation problem optimization.
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Bugarski, V., Bačkalić, T., Kuzmanov, U.: Fuzzy decision support system for ship lock control. Expert Systems with Applications. 2
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