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 l...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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National Society of Processing and Energy in Agriculture, Novi Sad
2014-01-01
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| Series: | Journal on Processing and Energy in Agriculture |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1821-4487/2014/1821-44871401030K.pdf |
| _version_ | 1811210915591225344 |
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| author | Kanović Željko Bugarski Vladimir Bačkalić Todor Jeličić Zoran Petković Milena Matić Dragan |
| author_facet | Kanović Željko Bugarski Vladimir Bačkalić Todor Jeličić Zoran Petković Milena Matić Dragan |
| author_sort | Kanović Željko |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T05:04:03Z |
| format | Article |
| id | doaj.art-bac3f1a680794d29b86ab18bc65b0578 |
| institution | Directory Open Access Journal |
| issn | 1821-4487 2956-0195 |
| language | English |
| last_indexed | 2024-04-12T05:04:03Z |
| publishDate | 2014-01-01 |
| publisher | National Society of Processing and Energy in Agriculture, Novi Sad |
| record_format | Article |
| series | Journal on Processing and Energy in Agriculture |
| spelling | doaj.art-bac3f1a680794d29b86ab18bc65b05782022-12-22T03:46:56ZengNational Society of Processing and Energy in Agriculture, Novi SadJournal on Processing and Energy in Agriculture1821-44872956-01952014-01-0118130351821-44871401030KOptimization of ship lock control system using swarm-based techniquesKanović Željko0https://orcid.org/0000-0003-1456-1135Bugarski Vladimir1https://orcid.org/0000-0001-6286-9287Bačkalić Todor2https://orcid.org/0000-0003-2605-4333Jeličić Zoran3https://orcid.org/0000-0001-9103-1280Petković Milena4Matić Dragan5University of Novi Sad, Faculty of Technical Sciences, Novi Sad, SerbiaUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, SerbiaUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, SerbiaUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, SerbiaUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, SerbiaUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, SerbiaThis 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.https://scindeks-clanci.ceon.rs/data/pdf/1821-4487/2014/1821-44871401030K.pdfship lockfuzzy expert systemparticle swarm optimizationartificial bee colony optimizationgenetic algorithm |
| spellingShingle | Kanović Željko Bugarski Vladimir Bačkalić Todor Jeličić Zoran Petković Milena Matić Dragan Optimization of ship lock control system using swarm-based techniques Journal on Processing and Energy in Agriculture ship lock fuzzy expert system particle swarm optimization artificial bee colony optimization genetic algorithm |
| title | Optimization of ship lock control system using swarm-based techniques |
| title_full | Optimization of ship lock control system using swarm-based techniques |
| title_fullStr | Optimization of ship lock control system using swarm-based techniques |
| title_full_unstemmed | Optimization of ship lock control system using swarm-based techniques |
| title_short | Optimization of ship lock control system using swarm-based techniques |
| title_sort | optimization of ship lock control system using swarm based techniques |
| topic | ship lock fuzzy expert system particle swarm optimization artificial bee colony optimization genetic algorithm |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1821-4487/2014/1821-44871401030K.pdf |
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