An empirical analysis through the time complexity of GE problems

Gopinath Chennupati, Conor Ryan, R. Muhammad Atif Azad

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

    5 Citations (Scopus)
    Original languageEnglish
    Title of host publicationMENDEL 2013 - 19th International Conference on Soft Computing
    Subtitle of host publicationEvolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods
    PublisherBrno University of Technology
    Pages37-44
    Number of pages8
    ISBN (Print)9788021447554
    Publication statusPublished (VoR) - 2013
    Event19th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods, MENDEL 2013 - Brno, Czech Republic
    Duration: 26 Jun 201328 Jun 2013

    Publication series

    NameMendel
    ISSN (Print)1803-3814

    Conference

    Conference19th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods, MENDEL 2013
    Country/TerritoryCzech Republic
    CityBrno
    Period26/06/1328/06/13

    Keywords

    • Computational complexity
    • Empirical analysis
    • Etc
    • Execution time
    • Genetic programming
    • Grammatical evolution
    • Power law

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