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Evolving Systems

An Interdisciplinary Journal for Advanced Science and Technology

Publishing model:

Overview

Evolving Systems is a scientific journal focusing on continuous, adaptive machine learning and dynamically evolving AI systems.

  • Devoted to self-learning, self-developing, self-organized, and evolving AI systems.
  • Covers original, methodological, and application-oriented papers.
  • Encourages submissions related to machine learning, AI, computational intelligence and mathematical modelling.
  • Seeks inspiration from nature, including neuroscience, bioinformatics, and quantum physics.
  • Welcomes applications in engineering, health, environment, security, transport business, and social sciences.

Editors-in-Chief
  • Plamen Angelov,
  • Dimitar Filev,
  • Nikola K. Kasabov
Impact factor
3.2 (2022)
5 year impact factor
2.9 (2022)
Submission to first decision (median)
12 days
Downloads
98,700 (2023)

Latest issue

February 2024 |

Volume 15, Issue 1

Special Issue: Advanced and Efficient Neural Networks and Machine Learning Algorithms (Pages: 1 - 131)

Latest articles

Journal updates

Journal information

Electronic ISSN
1868-6486
Print ISSN
1868-6478
Abstracted and indexed in
  1. ACM Digital Library
  2. BFI List
  3. Baidu
  4. CLOCKSS
  5. CNKI
  6. CNPIEC
  7. Chemical Abstracts Service (CAS)
  8. Current Contents/Engineering, Computing and Technology
  9. DBLP
  10. Dimensions
  11. EBSCO
  12. EI Compendex
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Naver
  17. Norwegian Register for Scientific Journals and Series
  18. OCLC WorldCat Discovery Service
  19. Portico
  20. ProQuest
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
  26. Wanfang
Copyright information

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