@inproceedings{scholars8824,
           title = {A novell approach on evolutionary dynamics analysis - A progress report},
       publisher = {EAI},
         journal = {COMPSE 2016 - 1st EAI International Conference on Computer Science and Engineering},
            year = {2017},
            note = {cited By 0; Conference of 1st EAI International Conference on Computer Science and Engineering, COMPSE 2016 ; Conference Date: 11 November 2016 Through 12 November 2016; Conference Code:130814},
          author = {Zelinka, I. and Vasant, P. and Dao, T. T. and Hoang, D. V.},
            isbn = {9781631901362},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032350052&partnerID=40&md5=924a62b3eb7a49a4b77084e8ff7dfd14},
        keywords = {Chaotic systems; Complex networks; Control system synthesis; Dynamical systems; Dynamics, Chaotic system controls; Control dynamic; Discrete dynamical systems; Dynamics analysis; Evolutionary dynamics; Hidden attractors; Progress report; Research papers, Evolutionary algorithms},
        abstract = {In this paper we discuss the possibility of novel mutual fusion of evolutionary algorithms, complex networks, strange dynamics and hidden attractors. As demonstrated in previous research papers, evolutionary algorithms are capable of very complex tasks such as chaotic system control, identification or synthesis and vice versa, chaos can be observed also in the evolutionary dynamics. We pro-pose a novel approach non how to analyze and control dynamic of evolutionary algorithm and also discuss possibility on strange dynamics analysis that is a part of dynamic of evolutionary algorithms. In any words, we propose to understand algorithms as a discrete dynamical system that exhibit wide spectra behavior that can be controlled and analyzed.}
}