A novel approach on evolutionary dynamics analysis � A progress report

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...

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Main Authors: Zelinka, I., Tomaszek, L., Vasant, P., Dao, T.T., Hoang, D.V.
Format: Article
Published: Elsevier B.V. 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028324402&doi=10.1016%2fj.jocs.2017.08.010&partnerID=40&md5=08302cfe6e4bfc5b32d56aada250b847
http://eprints.utp.edu.my/21747/
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spelling my.utp.eprints.217472018-08-01T02:05:33Z A novel approach on evolutionary dynamics analysis � A progress report Zelinka, I. Tomaszek, L. Vasant, P. Dao, T.T. Hoang, D.V. 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. Elsevier B.V. 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028324402&doi=10.1016%2fj.jocs.2017.08.010&partnerID=40&md5=08302cfe6e4bfc5b32d56aada250b847 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. http://eprints.utp.edu.my/21747/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Article
author Zelinka, I.
Tomaszek, L.
Vasant, P.
Dao, T.T.
Hoang, D.V.
spellingShingle Zelinka, I.
Tomaszek, L.
Vasant, P.
Dao, T.T.
Hoang, D.V.
A novel approach on evolutionary dynamics analysis � A progress report
author_facet Zelinka, I.
Tomaszek, L.
Vasant, P.
Dao, T.T.
Hoang, D.V.
author_sort Zelinka, I.
title A novel approach on evolutionary dynamics analysis � A progress report
title_short A novel approach on evolutionary dynamics analysis � A progress report
title_full A novel approach on evolutionary dynamics analysis � A progress report
title_fullStr A novel approach on evolutionary dynamics analysis � A progress report
title_full_unstemmed A novel approach on evolutionary dynamics analysis � A progress report
title_sort novel approach on evolutionary dynamics analysis � a progress report
publisher Elsevier B.V.
publishDate 2018
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
http://eprints.utp.edu.my/21747/
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