Dear colleague,

The new journal on Evolving Systems: An International Journal of
Advanced Science and Technology, ISSN 1868-6478
(http://www.springer.com/engineering/journal/12530) published by
Springer has now been launched. It will provide fast processing times
(on -line submission at https://www.editorialmanager.com/evos/),
focused, yet encompassing hot emerging topic area, professional and
dedicated editorial staff and more.

It will solicit high quality publications that will undergo double
blinded thorough review process (minimum three reviews required to
proceed) and yet will give chance to young authors by dedicated special
issues. 
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. 
Abstracted/Indexed in Google Scholar and ISI Web of Knowledge

Looking forward to your contributions,



Dr. Plamen Angelov, SMIEEE, Senior Lecturer
co-Editor-in-chief Evolving Systems (Springer)
Director Intelligent and Robotic Systems Programme
Intelligent Systems Research Laboratory
Infolab21, Department of Communication Systems
Lancaster University, Lancaster, LA1 4WA, UK
tel: +44 (1524) 510391; fax: +44 (1524) 510493