EvoIASP 2016 - Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition

Evolutionary algorithms have been shown to be tools which can be used effectively in the development of systems (software or hardware) for image analysis, signal processing and pattern recognition in complex domains of high industrial and social relevance.
The longest-running of all EvoApplications tracks, EvoIASP started in 1999 as a workshop, the first event ever specifically dedicated to the applications of evolutionary computation to image analysis and signal processing (IASP), as well as to Pattern Recognition.
EvoIASP aims to offer European and non-European researchers in those fields, as well as people from industry, an opportunity to present their latest research and to discuss current developments and applications, besides fostering closer future interaction between members of the three scientific communities.
Areas of Interest and Contributions
Topics of interest include, but are not limited to:
applications of evolutionary computation to real-world image analysis
signal processing and pattern recognition problems
evolvable vision and signal processing hardware
hybrid approaches to machine vision, signal processing and
pattern recognition including evolutionary components
theoretical developments
comparisons between different evolutionary techniques and between evolutionary and non-evolutionary techniques in image analysis, signal processing and pattern recognition applications
time series analysis by means of EC techniques