"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.

  • This journal covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems.

Journal information

Editors-in-Chief
  • Plamen Angelov,
  • Dimitar Filev,
  • Nikola K. Kasabov
Publishing model
Hybrid. Open Access options available

Journal metrics

83 days
Submission to first decision
216 days
Submission to acceptance
21,008 (2019)
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Latest issue

Volume 11

Issue 2, June 2020

Special section on Evolving and intelligent systems applications (pages: 199 - 316) and Special section on Adaptive Intelligent Systems for Learning, Control and Optimization (pages: 317 - 358)

Latest articles

This journal has 6 open access articles

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About this journal

Electronic ISSN
1868-6486
Print ISSN
1868-6478
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. Chemical Abstracts Service (CAS)
  4. Dimensions
  5. EBSCO Discovery Service
  6. EI Compendex
  7. Emerging Sources Citation Index
  8. Google Scholar
  9. INSPEC
  10. Institute of Scientific and Technical Information of China
  11. Japanese Science and Technology Agency (JST)
  12. Naver
  13. OCLC WorldCat Discovery Service
  14. ProQuest Advanced Technologies & Aerospace Database
  15. ProQuest Central
  16. ProQuest SciTech Premium Collection
  17. ProQuest Technology Collection
  18. ProQuest-ExLibris Primo
  19. ProQuest-ExLibris Summon
  20. SCImago
  21. SCOPUS
  22. UGC-CARE List (India)
  23. WTI Frankfurt eG
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