"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. Learn about publishing OA with us

Journal metrics

83 days
Submission to first decision
216 days
Submission to acceptance
21,008 (2019)
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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. DBLP
  5. Dimensions
  6. EBSCO Discovery Service
  7. EI Compendex
  8. Emerging Sources Citation Index
  9. Google Scholar
  10. INSPEC
  11. Institute of Scientific and Technical Information of China
  12. Japanese Science and Technology Agency (JST)
  13. Naver
  14. OCLC WorldCat Discovery Service
  15. ProQuest Advanced Technologies & Aerospace Database
  16. ProQuest Central
  17. ProQuest SciTech Premium Collection
  18. ProQuest Technology Collection
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  20. ProQuest-ExLibris Summon
  21. SCImago
  22. SCOPUS
  23. TD Net Discovery Service
  24. UGC-CARE List (India)
  25. WTI Frankfurt eG
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