Simulation-based control strategy optimization by using genetic algorithms

Pfeiffer, András and Kádár, Botond and Monostori, László and Karnok, Dávid (2006) Simulation-based control strategy optimization by using genetic algorithms. In: MITIP 2006. 8th international conference on the modern information technology in the innovation processes of the industrial enterprises. Budapest, 2006..

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The paper describes simulation-based analysis and improvement of a production control system through a case-study. Emulation, which can be considered as a new improved way of testing control algorithms, is applied for modeling the behavior of the production environment. Connecting control system and emulation results in a simulation test environment as the basis of the analysis. We present a genetic algorithm (GA) based optimization solution (coupled with the developed simulation test environment), which is capable of finding appropriate control strategies for an intra-plant logistics system. Several production situations are tested, where the influence of the control strategy calculated by the proposed GA-based solution is analyzed and compared to the strategy currently applied in the production system. By applying the optimized strategies, a reasonable improvement of the selected performance measures can be experienced.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Research Laboratory on Engineering & Management Intelligence
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 15:26
Last Modified: 11 Dec 2012 15:26

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