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Overview

Evolutionary Intelligence is dedicated to publishing advances in the field of evolutionary intelligence.

  • Explores both theoretical and practical aspects of population-based searches for artificial intelligence.
  • Covers techniques like rule-based systems, artificial neural networks, fuzzy systems, and more.
  • Features topics such as memory, vision, planning, robotics, and cognitive science.
  • Includes papers describing applications in data mining, adaptive control, medical and bioinformatics, and more.

Editors-in-Chief
  • Stefania Tomasiello PhD

Journal metrics

Journal Impact Factor
4.6 (2025)
5-year Journal Impact Factor
3.1 (2025)
Submission to first decision (median)
17 days
Downloads
162.2k (2025)

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Journal information

Electronic ISSN
1864-5917
Print ISSN
1864-5909
Abstracted and indexed in
  1. ACM Digital Library
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Chinese Academy of Medical Science (CAMS)
  7. DBLP
  8. Dimensions
  9. EBSCO
  10. EI Compendex
  11. Emerging Sources Citation Index
  12. Google Scholar
  13. INSPEC
  14. Japanese Science and Technology Agency (JST)
  15. Naver
  16. OCLC WorldCat Discovery Service
  17. Ovid Discovery
  18. Portico
  19. ProQuest
  20. SCImago
  21. SCOPUS
  22. TD Net Discovery Service
  23. Wanfang
  24. eLibrary.ru
© Springer-Verlag GmbH Germany, part of Springer Nature

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