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
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- Plamen Angelov,
- Dimitar Filev,
- Nikola K. Kasabov
- Journal Impact Factor
- 2.7 (2023)
- 5-year Journal Impact Factor
- 2.8 (2023)
- Submission to first decision (median)
- 11 days
- Downloads
- 98,700 (2023)
Latest articles
Journal updates
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Call for Papers: Pervasive and Resource-Constrained Artificial Intelligence
Guest Editors: Lorenzo Valerio, Franco Maria Nardini, Mario Luca Bernardi, Riccardo Pecor & Paolo Dini
Deadline for submissions: 31 August 2024 -
Call for Papers: Future Directions in Evolving Systems: Flexibility, Autonomy, and Real-World Applications
Guest Editors: Igor Škrjanc, Pietro Ducange, Jose Antonio Iglesias Martínez & Rashmi Dutta Baruah
By Invitation Only | Deadline for submissions: 1 December 2024 -
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Journal information
- Electronic ISSN
- 1868-6486
- Print ISSN
- 1868-6478
- Abstracted and indexed in
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- ACM Digital Library
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Chemical Abstracts Service (CAS)
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information