eprintid: 10495
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/04/95
datestamp: 2023-11-09 16:37:06
lastmod: 2023-11-09 16:37:06
status_changed: 2023-11-09 16:31:32
type: article
metadata_visibility: show
creators_name: Zelinka, I.
creators_name: Tomaszek, L.
creators_name: Vasant, P.
creators_name: Dao, T.T.
creators_name: Hoang, D.V.
title: A novel approach on evolutionary dynamics analysis � A progress report
ispublished: pub
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
note: cited By 27
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. © 2017 Elsevier B.V.
date: 2018
publisher: Elsevier B.V.
official_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
id_number: 10.1016/j.jocs.2017.08.010
full_text_status: none
publication: Journal of Computational Science
volume: 25
pagerange: 437-445
refereed: TRUE
issn: 18777503
citation:   Zelinka, I. and Tomaszek, L. and Vasant, P. and Dao, T.T. and Hoang, D.V.  (2018) A novel approach on evolutionary dynamics analysis � A progress report.  Journal of Computational Science, 25.  pp. 437-445.  ISSN 18777503