
Evolutionary Intelligence is the place to discover advances in the field of evolutionary intelligence. The journal is devoted to the timely publication and dissemination of both the theoretical and practical aspects of population-based searches for artificial intelligence.
Among the techniques covered are rule-based systems, artificial neural networks, fuzzy systems, Bayesian and statistical approaches, artificial immune systems, and hybrid systems combining evolutionary computation with other artificial intelligence techniques.
A partial list of topics includes memory, vision, planning, knowledge representation and construction, robotics, neuroscience, language, development and learning, and cognitive science. Readers will also find papers describing applications in such areas as data mining, adaptive control, medical and bioinformatics, games and multi-media, agent-based computing and modeling, complex systems, and chemical and biological systems.
- Captures and archives advances in the field of evolutionary intelligence
- Explores both the theoretical and practical aspects of population-based searches for artificial intelligence
- Covers such techniques as rule-based systems, artificial neural networks, fuzzy systems, Bayesian and statistical approaches, artificial immune systems, etc.
Journal information
- Editor-in-Chief
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- Vincenzo Loia
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 78 days
- Submission to first decision
- 180 days
- Submission to acceptance
- 23,002 (2019)
- Downloads
Latest issue
Latest articles
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A two-stage routing optimization model for yard trailers in container terminals under stochastic demand
Authors (first, second and last of 5)
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Tool combination model based on task sequence using an optimized orientation genetic algorithm
Authors (first, second and last of 4)
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Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making
Authors (first, second and last of 7)
Journal updates
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Special Issue proposal guidelines
Guidance on submitting and managing a Special Issue with EVIN.
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Call for Papers
CFP SI "Cyber Threat Intelligence and Adversarial Risk Analysis"
About this journal
- Electronic ISSN
- 1864-5917
- Print ISSN
- 1864-5909
- Abstracted and indexed in
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- ACM Digital Library
- CNKI
- DBLP
- Dimensions
- EBSCO Discovery Service
- EI Compendex
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Copyright information