Computational Intelligence methodologies have become a useful support for scientists and engineers working both in academia and business environments due to their capabilities to enable the design and development of systems able to adapt their behaviour to meet complex and dynamic goals in a range of application domains. As a consequence, during the last years, many software tools have been developed to speed up the implementation of frameworks for computational intelligence and enable a full interoperability among the different actors involved in the frameworks’ design. A large amount of these tools are developed by the scientific community as free and open source software, offering many benefits such as the quicker detection of errors, the development of innovative applications, the faster adoption of computational intelligence techniques in other scientific areas and in industry, and so on.
The goal of this workshop is to provide a leading international forum to bring together researchers and practitioners from diverse fields, in order to examine and improve the current state-of-the-art, original and recent research on Tools for Computational Intelligence.
The workshop will bring together researchers from both industry and academia from the various topics contributing to the area on tools for computational intelligence. Such topics include, but are not limited to:
- Software tools for Fuzzy logic, Neural Networks and Evolutionary Computation.
- Software tools for Data Pre-processing, Mining and Knowledge Extraction
- Distributed computing (Map-Reduce, GPGPU, etc.) for Computational Intelligence
- Software tools and languages for interoperability in Computational Intelligence
- Comparative studies on tools for Computational Intelligence
- Methods for formal verification and validation of tools for Computational Intelligence
- Intelligent GUI for Computational Intelligence.
Nottingham Trent University, UK.
University of Alberta, Canada.