Automatic power system identification using genetic algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Nowakova2014133,

• author = "Jana Nowakova and Jan Platos and Vaclav Snasel",
• title = "Automatic power system identification using genetic algorithms",
• booktitle = "Proceedings of theInternational Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014",
• year = "2014",
• pages = "133--137",
• address = "University of Salerno, Salerno, Italy",
• month = "10-12 " # sep,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Identification, Optimization, System",
• URL = "https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946690220&doi=10.1109%2fINCoS.2014.64&partnerID=40&md5=04991c5800ca3dd524758570cf1a3618",
• DOI = "doi:10.1109/INCoS.2014.64",
• art_number = "7057081",
• affiliation = "FEECS and IT4 Innovation, VSB-Technical University of Ostrava, Ostrava, Czech Republic",
• abstract = "Some identification methods of the systems are developed, but there is still some space for finding new solutions for such classic and needed procedure as the identification is. For proposed solution in the paper the genetic algorithms are used as optimization method for finding the parameters of difference equation of systems of the system of 2nd order with defined transfer function, but it can be used for the huge scale of systems, the only task is to be able to define the general difference equation and be able to store the data. This method is going to be added to the complex system of intelligent controller. The used genetic algorithms is designed to discover the whole search space with constant attempts to find better solution and not be stuck in local minima. The proposed algorithm finds the solution of the problem with defined precision and in real time on common computer equipment.",
• source = "Scopus",

}

Genetic Programming entries for Jana Nowakova Jan Platos Vaclav Snasel

Citations