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.
Editor-in-Chief
  • Vincenzo Loia
Publishing model
Hybrid. Open Choice – What is this?
Speed
Submission to first decision: 34 days
Usage
Downloads: 11,738 (2018)

Articles

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About this journal

Electronic ISSN
1864-5917
Print ISSN
1864-5909
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  22. zbMATH
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