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Evolutionary Intelligence
Publishing model:
Hybrid
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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.

Editor-in-Chief
  • Stefania Tomasiello,
  • Vincenzo Loia

Journal metrics

Journal Impact Factor
2.3 (2023)
5-year Journal Impact Factor
2.4 (2023)
Submission to first decision (median)
23 days
Downloads
152.6k (2024)

Latest articles

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This journal has 38 open access articles

Journal updates

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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. DBLP
  7. Dimensions
  8. EBSCO
  9. EI Compendex
  10. Emerging Sources Citation Index
  11. Google Scholar
  12. INSPEC
  13. Japanese Science and Technology Agency (JST)
  14. Naver
  15. OCLC WorldCat Discovery Service
  16. Portico
  17. ProQuest
  18. SCImago
  19. SCOPUS
  20. TD Net Discovery Service
  21. Wanfang

© Springer-Verlag GmbH Germany, part of Springer Nature

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