@article{scholars10495,
             doi = {10.1016/j.jocs.2017.08.010},
          volume = {25},
            note = {cited By 27},
           title = {A novel approach on evolutionary dynamics analysis {\^a}?? A progress report},
            year = {2018},
           pages = {437--445},
       publisher = {Elsevier B.V.},
         journal = {Journal of Computational Science},
        abstract = {In this paper, we discuss the possibility of unique mutual fusion of evolutionary algorithms, complex networks, strange dynamics and hidden attractors. As demonstrated in many research papers, evolutionary algorithms are capable of very complex tasks such as chaotic system control, identification or synthesis and vice versa; chaos can also be observed in the evolutionary dynamics, as originally demonstrated by various researchers. We propose a novel approach on how to analyze and control dynamic of the evolutionary algorithm and also discuss the possibility of strange dynamics analysis that can be a part of dynamic of evolutionary algorithms. In any words, we propose to understand algorithms as a discrete dynamical system that exhibits a wide spectrum of the behavior that can be controlled and analyzed. {\^A}{\copyright} 2017 Elsevier B.V.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028324402&doi=10.1016\%2fj.jocs.2017.08.010&partnerID=40&md5=08302cfe6e4bfc5b32d56aada250b847},
        keywords = {Chaos theory; Chaotic systems; Complex networks; Control; 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},
          author = {Zelinka, I. and Tomaszek, L. and Vasant, P. and Dao, T. T. and Hoang, D. V.},
            issn = {18777503}
}