Aims & Scope 

International Journal of Intelligent Computing and Cybernetics will promote intelligent computing and cybernetics methodologies in order to solve real life problems mainly from engineering and management systems domains. The journal will mainly focus on the real life problems, which can suitably be handled through intelligent/soft computing and cybernetics paradigms. International Journal of Intelligent Computing and Cybernetics will provide a unique platform for publishing the recent advances in applications, practices, and methodologies concerning with cybernetic systems.

Enduring the methodologies, which take part in the scope of the journal, diversity of application domains will be encouraged. The following application areas will be promoted for possible publication: agent based systems, autonomous reasoning, big data analytics, chaotic system modelling, data mining, decision support, distributed artificial intelligence, engineering design optimization, fault diagnosis, intelligent production systems (industry 4.0), industrial engineering and operations research, man-machine interface, intelligent manufacturing systems, power and energy systems, process and system control/optimization, intelligent robotics, system identification, uncertainty handling in complex systems.

International Journal of Intelligent Computing and Cybernetics focuses on studying and understanding the underlying principles of natural computation and control, and how these theories and technologies can be adopted or modified to extend and enrich computer science, and enrich the communication and control in society and in individual human beings. Algorithms, techniques and theories in these fields have been successfully applied to a wide range of complex real-world problems. International Journal of Intelligent Computing and Cybernetics is an international forum for publication of original papers in all disciplines of intelligent computing and cybernetics.

The International Journal of Intelligent Computing and Cybernetics is indexed and abstracted in:

Cabell's Directory of Publishing Opportunities in Computer Science - Business Information Systems, CSP, EI Compendex, INSPEC, MathSciNet, Norwegian Scientific Index, ReadCube Discover, Scopus, Zentralblatt MATH.