Genetic algorithm for system modelling

Olteanu Marius, Paraschiv Nicolae, Koprinkova Petia, Todorov Yancho

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The process of modeling of a real system usually implies an iterative approach where an initial model is incrementally modified in order to increase its accuracy with regard to available experimental data. Many approaches are discussed in the literature, among which some are based on Artificial Intelligence techniques. Continuous improvement in the mathematical model adequacy is very similar with the principal of genetic evolution applied in computational intelligence methods. The present paper investigates the application of genetic algorithm technique to optimize the model parameters for an industrial process.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)978-1-50906457-1
DOIs
Publication statusPublished - 4 Dec 2017
MoE publication typeA4 Article in a conference publication
Event9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017 - Targoviste, Romania
Duration: 29 Jun 20171 Jul 2017

Conference

Conference9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017
CountryRomania
CityTargoviste
Period29/06/171/07/17

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Keywords

  • Chemical process
  • Genetic algorithm
  • System identification

Cite this

Marius, O., Nicolae, P., Petia, K., & Yancho, T. (2017). Genetic algorithm for system modelling. In Proceedings of the 9th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2017 (pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECAI.2017.8166517