Welcome to the 14th UK Workshop on Computational Intelligence UKCI2014.

To be held at the School of Electrical Engineering & Computer Science, University of Bradford.
8 - 10 September 2014

The 14th Annual Workshop on Computational Intelligence will be hosted by the University of Bradford, from September 8 - 10, 2014. UKCI is the premier UK and Ireland event for presenting leading research on all aspects of computational intelligence. The workshop runs as a single-track event, and will consist of regular sessions, special sessions and keynote talks from leading researchers in the field of computational intelligence.

The workshop aims to provide a forum for academic researchers to share research progress and discuss emerging topics and future directions in the field of computational intelligence. Equally important, this workshop intends to demonstrate successful case studies, identify challenges and bridge the gap between theory and practice in applying computational intelligence to solving real-world problems.


UKCI 2014 is technically co-sponsored by the IEEE Computational Intelligence Society and the IEEE CIS UKRI chapter. All accepted papers will be included in the conference proceedings and submitted to IEEE Xplore.
Selected papers after a substantial extension will be considered to be published in a Springer Soft Computing Journal special issue.
One Best Student Paper Award will be given out.


The authors are invited to submit their original work in all areas of computational intelligence and nature-inspired computing including, but not limited to the following:

  • Machine learning, (evolving) learning systems, biologically-inspired computing, neural networks, computational and cognitive neuroscience
  • Fuzzy logic, fuzzy systems, type-2 fuzzy systems, approximate reasoning, computing with words
  • Evolutionary computing, evolutionary algorithms, swarm intelligence, ant colony optimisation, artificial immune systems, memetic computing
  • Software agents and Multi-agent systems
  • Intelligent control, intelligent signal processing and evolutionary developmental robotics
  • New and Emerging Computational Intelligence approaches from hybrid learning and systems, molecular and quantum computing
  • Applications of computational intelligence techniques to chem- and bio-informatics, brain-machine interface, digital eco-systems, big data and data science, social network analysis, healthcare, computer games, multimedia, cyber-security, engineering, design and manufacturing, energy environment, digital economy and Internet of Things

For additional information contact the General Chair, Professor Daniel Neagu

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