Fuzzy modeling with the particle swarm optimization algorithm
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Publication date: 2012
Technical Transactions, 2012, Automatic Control Issue 1-AC (25) 2012, pp. 1 - 1
https://doi.org/10.4467/2353737XCT.14.004.1781Authors
Fuzzy modeling with the particle swarm optimization algorithm
The main goal of this paper is a description of clustering algorithm based on the particle swarm optimization algorithm, inspired on social behavior of animals and its application in fuzzy modeling. In the paper the idea of the heuristic swarm-based algorithm was presented, including a few modifications. Moreover, the results of the experimental evaluation were shown, both a selected optimization technique and its synthesi with a fuzzy modeling method referring to the k-means algorithm and the fuzzy control process.
Information: Technical Transactions, 2012, Automatic Control Issue 1-AC (25) 2012, pp. 1 - 1
Article type: Original article
Titles:
Fuzzy modeling with the particle swarm optimization algorithm
Fuzzy modeling with the particle swarm optimization algorithm
Katedra Automatyki i Technik Informacyjnych, Wydział Elektrotechniki i Inżynierii Komputerowej, Politechnika Krakowska; Katedra Komputerowych Systemów Automatyki, Instytut Technologii Komputerowych, Automatyki i Metrologii, Uniwersytet Narodowy „Lvivska Politechnika”
Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology; Systems Research Institute, Polish Academy of Sciences
Published at: 2012
Article status: Open
Licence: None
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PolishView count: 2316
Number of downloads: 1657