Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке:
https://open.uns.ac.rs/handle/123456789/6797
Назив: | Ship lock control system optimizationusing GA, PSO and ABC: A comparative review | Аутори: | Kanović, Željko Bugarski, Vladimir Bačkalić, Todor |
Датум издавања: | 1-јан-2014 | Часопис: | Promet - Traffic - Traffico | Сажетак: | © 2014, Faculty of Transport and Traffic Engineering. All rights reserved. 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. | URI: | https://open.uns.ac.rs/handle/123456789/6797 | ISSN: | 3535320 | DOI: | 10.7307/ptt.v26i1.1475 |
Налази се у колекцијама: | FTN Publikacije/Publications |
Приказати целокупан запис ставки
SCOPUSTM
Навођења
14
проверено 03.05.2024.
Преглед/и станица
24
Протекла недеља
10
10
Протекли месец
0
0
проверено 10.05.2024.
Google ScholarTM
Проверите
Алт метрика
Ставке на DSpace-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.