Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review

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 s...

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Main Authors: Željko Kanović, Vladimir Bugarski, Todor Bačkalić
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2014-02-01
Series:Promet (Zagreb)
Subjects:
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1475
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author Željko Kanović
Vladimir Bugarski
Todor Bačkalić
author_facet Željko Kanović
Vladimir Bugarski
Todor Bačkalić
author_sort Željko Kanović
collection DOAJ
description 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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spelling doaj.art-45e37906c333429a9aa8889f7f9d67802022-12-21T18:52:59ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692014-02-01261233110.7307/ptt.v26i1.14751114Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative ReviewŽeljko Kanović0Vladimir Bugarski1Todor Bačkalić2Department for Traffic Engineering Faculty of Technical Sciences, University of Novi Sad Trg Dositeja Obradovića 6, 21000 Novi Sad, SerbiaDepartment for Traffic Engineering Faculty of Technical Sciences, University of Novi SadDepartment for Traffic Engineering Faculty of Technical Sciences, University of Novi SadThis 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.http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1475ship lockfuzzy expert systemparticle swarm optimizationartificial bee colony optimizationgenetic algorithm
spellingShingle Željko Kanović
Vladimir Bugarski
Todor Bačkalić
Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
Promet (Zagreb)
ship lock
fuzzy expert system
particle swarm optimization
artificial bee colony optimization
genetic algorithm
title Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
title_full Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
title_fullStr Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
title_full_unstemmed Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
title_short Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
title_sort ship lock control system optimization using ga pso and abc a comparative review
topic ship lock
fuzzy expert system
particle swarm optimization
artificial bee colony optimization
genetic algorithm
url http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1475
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AT vladimirbugarski shiplockcontrolsystemoptimizationusinggapsoandabcacomparativereview
AT todorbackalic shiplockcontrolsystemoptimizationusinggapsoandabcacomparativereview