First EAI International Conference on Computer Science and Engineering

Research Article

A Novell Approach on Evolutionary Dynamics Analysis - A Progress Report

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  • @INPROCEEDINGS{10.4108/eai.27-2-2017.152351,
        author={Ivan Zelinka and Pandian Vasant and Tran Trong Dao and Duy Vo Hoang},
        title={A Novell Approach on Evolutionary Dynamics Analysis - A Progress Report},
        proceedings={First EAI International Conference on Computer Science and Engineering},
        publisher={EAI},
        proceedings_a={COMPSE},
        year={2017},
        month={3},
        keywords={evolutionary dynamics strange dynamics hidden attractors com-plex network},
        doi={10.4108/eai.27-2-2017.152351}
    }
    
  • Ivan Zelinka
    Pandian Vasant
    Tran Trong Dao
    Duy Vo Hoang
    Year: 2017
    A Novell Approach on Evolutionary Dynamics Analysis - A Progress Report
    COMPSE
    EAI
    DOI: 10.4108/eai.27-2-2017.152351
Ivan Zelinka1,2,*, Pandian Vasant3, Tran Trong Dao4, Duy Vo Hoang4
  • 1: Department of Computer Science, FEI, VSB Technical University of Ostrava, Tr. 17.
  • 2: Listopadu 15, Ostrava, Czech Republic
  • 3: Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Malaysia
  • 4: Modeling evolutionary algorithms simulation and artificial intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
*Contact email: ivan.zelinka@vsb.cz

Abstract

In this paper we discuss the possibility of novel mutual fusion of evo-lutionary 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.