Logo - springer
Slogan - springer

Physics - Complexity | Evolving Systems - incl. option to publish open access (Press)

Evolving Systems

Evolving Systems

An Interdisciplinary Journal for Advanced Science and Technology

Editors-in-Chief: P. Angelov; D. Filev; N.K. Kasabov

ISSN: 1868-6478 (print version)
ISSN: 1868-6486 (electronic version)

Journal no. 12530

Editors-in-Chief

DR PLAMEN ANGELOV 

Plamen Angelov
Dr Plamen Angelov is a Reader in Computational Intelligence and coordinator of the Intelligent Systems Research at Infolab21, Lancaster University, UK. He is a Senior Member of the IEEE and Chair of the Technical Committee on Evolving Intelligent Systems, Systems, Man and Cybernetics Society, IEEE. He is also a member of the UK Autonomous Systems National TC, of the Autonomous Systems Study Group, NorthWest Science Council, UK and of the Autonomous Systems Network of the Society of British Aerospace Companies. He is also a founding member of the Centre of Excellence in CyberSecurity officially recognised by UK GCHQ for the period 2012-2017.
He authored or co-authored over 160 peer reviewed publications in leading journals (50+) peer-reviewed conference proceedings, a patent, a research monograph, a number of edited books, and has an active research portfolio in the area of computational intelligence and autonomous system modelling, identification, and machine learning. He has internationally recognised pioneering results into on-line and evolving methodologies and algorithms for knowledge extraction in the form of human-intelligible fuzzy rule-based systems and autonomous machine learning.
Dr. Angelov is also a very active researcher leading numerous projects (over a dozen for the last five-six years) funded by UK and EU research councils, industry, HM Government, including UK Ministry of Defence (total funding in order of tens of millions pounds with well over £1M for his group alone). His research contributes to the competitiveness of the industry, defence and quality of life and was recognised by ‘The Engineer Innovation and Technology 2008 Award in two categories: i) Aerospace and Defence and ii) The Special Award.
Dr. Angelov is also the founding Editor-in-Chief of the Springer journal Evolving Systems and serves as an Associate Editor of several other international journals, including IEEE Transactions on Systems, Man and Cybernetics, on Fuzzy Systems, Elsevier’s Fuzzy Sets and Systems, Journal on Automation, Mobile Robotics and Intelligent Systems etc. He also Chairs annual conferences organised by IEEE acts as Visiting Professor (in Brazil, Germany, Spain) regularly gives invited and plenary talks at leading companies and universities More information can be found at Dr Angelov's web site
----------------------------------------------------------------------------------------------------------------------------------------

DR DIMITAR P. FILEV 

Filev Dimitar
Dr. Dimitar P. Filev is a Senior Technical Leader - Intelligent Control & Information Systems, Ford Research & Advanced Engineering. He is conducting research in modeling and control of complex systems, intelligent control, fuzzy and neural systems, and their applications to automotive engineering.
He is recipient of the 2008 Norbert Wiener Award of the IEEE SMC Society, the 2007 IFSA Outstanding Industrial Applications Award, and the highest Ford Motor Company corporate awards – he was awarded 5 times with the Henry Ford Technology Award for development and implementation of advanced automotive technologies and he received the 2010 Inaugural Haren Gandhi Research & Innovation Award for his long term research contributions.
He has published 4 books and over 200 articles in refereed journals and conference proceedings, and holds over 40 US and foreign patents. He is past president of NAFIPS and serves presently as VP for Cybernetics of the IEEE SMC Society. Dr. Filev is a Fellow of IEEE and IFSA. He received his PhD. degree in Electrical Engineering from the Czech Technical University in Prague in 1979.
---------------------------------------------------------------------------------------------------------------------------------------

PROFESSOR NIKOLA K. KASABOV 

Prof. Nikola Kasabov
Professor Nikola K. Kasabov, Fellow IEEE, Fellow RSNZ, obtained his Masters degree in computing and electrical engineering (1971) and PhD in mathematical sciences (1975) from the Technical University of Sofia, Bulgaria. He is the Director and the Founder of the Knowledge Engineering and Discovery Research Institute (KEDRI, www.kedri.info) and Professor of Knowledge Engineering at the School of Computing and Mathematical Sciences at the Auckland University of Technology. Before that he worked at the technical University of Sofia, University of Essex in the UK, University of Otago.
He has published more than 450 papers, books and patents in the areas of information science, computational intelligence, neural networks, bioinformatics, neuroinformatics. Prof. Kasabov was the President of the International Neural Network Society (INNS) for 2009 and 2010 and now he is a Governor of INNS. He is also a Past President of the Asia Pacific Neural Network Assembly (APNNA). He is a Distinguished IEEE CIS Lecturer (2011-2013). He is an EU Marie Curie Fellow and a Visiting Professor at the Institute for Neuroinformatics of the University of Zurich and ETH (http://ncs.ethz.ch/projects/evospike) and a Guest Professor at the Shanghai Jiao Tong University.
Among his awards are the APPNA Outstanding Achievement Award (2012), the INNS Gabor Award (2012), the AUT VC Individual Research Excellence Award (2010), the Bayer Innovation Award (2007), the APPNA Excellence Award (2005), the RSNZ Science and Technology Medal (2002) and numerous IEEE best paper awards. He has given more than 50 keynote and plenary talks at international conferences and served as a chair and a committee member of numerous IEEE, ICONIP, ANNES and other international conferences. More than 35 PhD students have graduated under his supervision.
Kasabov is Co-Editor–in-Chief of the Springer journal Evolving Systems, Editor of the Springer Handbook of Bio-and Neuroinformatics and series editor of the Springer Series in Bio-/Neuroinformatics.

 

Articles

For authors and editors

  • Aims and Scope

    Aims and Scope

    Close

    "Evolving Systems" covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems. Evolving systems are inspired by the idea of system model evolution in a dynamically changing and evolving environment. They use inheritance and gradual change with the aim of life-long learning and adaptation, self-organization including system structure evolution in order to adapt to the (unknown and unpredictable) environment as structures for information representation with the ability to fully adapt their structure and adjust their parameters.

    "Evolving Systems" solicits publications that address the problems of modelling, control, prediction, classification and data processing in non-stationary, unpredictable environments and describe new methods and approaches for design of systems able to fully adapt its structure rather than adjust its parameters based on a pre-trained and fixed structure.

    The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety - from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as

    • conventional systems,
    • neuro-fuzzy systems,
    • evolutionary systems,
    • Bayesian systems,
    • machine learning methods,
    • clustering, and
    • classification,

    but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services. The common features for all submitted methods and systems are evolvability and knowledge discovery.

    The journal is encompassing contributions related to: 

    1) Methods of computational intelligence and mathematical modelling 

    2) Inspiration from Nature and Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics

    3) Applications in engineering, business, social sciences. 

  • Submit Online
  • Open Choice - Your Way to Open Access
  • Instructions for Authors

    Instructions for authors

    Close

  • CFP Applications of Evolving Connectioni...
  • CFP Temporal Aspects in Fuzzy Cognitive ...
  • CFP Adaptive and on-line learning in non...
  • Forthcoming Conference EAIS 2014
  • Author Academy: Training for Authors
  • English Language Editing

    English Language Editing

    Close

  • Copyright information

    Copyright information

    Close

    Copyright Information

    For Authors

    Submission of a manuscript implies: that the work described has not been published before (except in form of an abstract or as part of a published lecture, review or thesis); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors, if any, as well as – tacitly or explicitly – by the responsible authorities at the institution where the work was carried out.

    Author warrants (i) that he/she is the sole owner or has been authorized by any additional copyright owner to assign the right, (ii) that the article does not infringe any third party rights and no license from or payments to a third party is required to publish the article and (iii) that the article has not been previously published or licensed. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. Transfer of copyright to Springer (respective to owner if other than Springer) becomes effective if and when a Copyright Transfer Statement is signed or transferred electronically by the corresponding author. After submission of the Copyright Transfer Statement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted by Springer.

    The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is assigned for good and valuable consideration to Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

    The copyright assignment includes without limitation the exclusive, assignable and sublicensable right, unlimited in time and territory, to reproduce, publish, distribute, transmit, make available and store the article, including abstracts thereof, in all forms of media of expression now known or developed in the future, including pre- and reprints, translations, photographic reproductions and microform. Springer may use the article in whole or in part in electronic form, such as use in databases or data networks for display, print or download to stationary or portable devices. This includes interactive and multimedia use and the right to alter the article to the extent necessary for such use.

    Authors may self-archive the Author's accepted manuscript of their articles on their own websites. Authors may also deposit this version of the article in any repository, provided it is only made publicly available 12 months after official publication or later. He/she may not use the publisher's version (the final article), which is posted on SpringerLink and other Springer websites, for the purpose of self-archiving or deposit. Furthermore, the Author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".

    Prior versions of the article published on non-commercial pre-print servers like arXiv.org can remain on these servers and/or can be updated with Author's accepted version. The final published version (in pdf or html/xml format) cannot be used for this purpose. Acknowledgement needs to be given to the final publication and a link must be inserted to the published article on Springer's website, accompanied by the text "The final publication is available at link.springer.com". Author retains the right to use his/her article for his/her further scientific career by including the final published journal article in other publications such as dissertations and postdoctoral qualifications provided acknowledgement is given to the original source of publication.

    Author is requested to use the appropriate DOI for the article. Articles disseminated via link.springer.com are indexed, abstracted and referenced by many abstracting and information services, bibliographic networks, subscription agencies, library networks, and consortia.

    For Readers

    While the advice and information in this journal is believed to be true and accurate at the date of its publication, neither the authors, the editors, nor the publisher can accept any legal responsibility for any errors or omissions that may have been made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

    All articles published in this journal are protected by copyright, which covers the exclusive rights to reproduce and distribute the article (e.g., as offprints), as well as all translation rights. No material published in this journal may be reproduced photographically or stored on microfilm, in electronic data bases, video disks, etc., without first obtaining written permission from the publisher (respective the copyright owner if other than Springer). The use of general descriptive names, trade names, trademarks, etc., in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

    Springer has partnered with Copyright Clearance Center's RightsLink service to offer a variety of options for reusing Springer content. For permission to reuse our content please locate the material that you wish to use on link.springer.com or on springerimages.com and click on the permissions link or go to copyright.com, then enter the title of the publication that you wish to use. For assistance in placing a permission request, Copyright Clearance Center can be connected directly via phone: +1-855-239-3415, fax: +1-978-646-8600, or e-mail: info@copyright.com.


    © Springer-Verlag Berlin Heidelberg

Alerts for this journal

 

Get the table of contents of every new issue published in Evolving Systems.


Additional information