"Evolving Systems" covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems. Evolving systems are inspired by the idea of system model evolution in a dynamically changing and evolving environment. They use inheritance and gradual change with the aim of life-long learning and adaptation, self-organization including system structure evolution in order to adapt to the (unknown and unpredictable) environment as structures for information representation with the ability to fully adapt their structure and adjust their parameters.

"Evolving Systems" solicits publications that address the problems of modelling, control, prediction, classification and data processing in non-stationary, unpredictable environments and describe new methods and approaches for design of systems able to fully adapt its structure rather than adjust its parameters based on a pre-trained and fixed structure.

The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety - from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as

  • conventional systems,
  • neuro-fuzzy systems,
  • evolutionary systems,
  • Bayesian systems,
  • machine learning methods,
  • clustering, and
  • classification,

but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services. The common features for all submitted methods and systems are evolvability and knowledge discovery.

The journal is encompassing contributions related to:

1) Methods of computational intelligence and mathematical modelling

2) Inspiration from Nature and Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics

3) Applications in engineering, business, social sciences.

  • This journal covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems.

Journal information

  • Plamen Angelov,
  • Dimitar Filev,
  • Nikola K. Kasabov
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

80 days
Submission to first decision
223 days
Submission to acceptance
27,431 (2020)

Latest issue

Volume 12

Issue 1, March 2021

Special Issues: Evolving and Hybrid Systems Modelling (Pages: 1-190) edited by Lazaros Iliadis, Ilias Maglogiannis, Evolving approaches to Intelligent Computing (Pages: 191-216) edited by De-Shuang Huang and Sustainable Evolving Computing Systems and its Applications (Pages: 217-238) edited by Pitchai Ramu

Latest articles

This journal has 7 open access articles


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