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Work-in-process scheduling by evolutionary tuned distributed fuzzy controllers

Tsourveloudis Nikolaos, Doitsidis Lefteris, Ioannidis Efstratios

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/C8041D18-2E89-4FCE-8A82-1BDF0F5BE725-
Αναγνωριστικόhttps://doi.org/10.1109/ROBOT.2006.1641908-
Γλώσσαen-
ΤίτλοςWork-in-process scheduling by evolutionary tuned distributed fuzzy controllersen
ΔημιουργόςTsourveloudis Nikolaosen
ΔημιουργόςΤσουρβελουδης Νικολαοςel
ΔημιουργόςDoitsidis Lefterisen
ΔημιουργόςIoannidis Efstratiosen
ΔημιουργόςΙωαννιδης Ευστρατιοςel
ΠερίληψηThis paper presents an evolutionary algorithm (EA) strategy for the optimization of generic work-in-process (WIP) scheduling fuzzy controllers. The EA strategy is used to tune a set of distributed fuzzy control modules that are responsible for WIP scheduling. The objective is to control the production rate in each processing stage in a way that satisfies the demand for final products, while reducing WIP within the production system. The EA identifies the parameters for which a set of fuzzy controllers performs optimal with respect to WIP and backlog minimization. The proposed EA strategy is compared to heuristically tuned distributed fuzzy controllers. Extensive simulation testing shows that the EA strategy significantly improves the system's performance.en
ΤύποςΔημοσίευση σε Συνέδριοel
ΤύποςConference Publicationen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-25-
Ημερομηνία Δημοσίευσης2006-
Θεματική ΚατηγορίαRoboticsen
Θεματική ΚατηγορίαAutomationen
Βιβλιογραφική ΑναφοράN. Tsourveloudis, L. Doitsidis and S. Ioannidis, "Work-in-process Scheduling by Evolutionary tuned Distributed Fuzzy Controllers", in Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 15-19 May 2006. doi: 10.1109/ROBOT.2006.1641908en

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