Automatic power system identification using genetic algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

@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