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Computational Intelligence for Risk Management, Security and Defence Applications

Recent events involving both natural disasters and human-made attacks have emphasised the importance of solving challenging problems in risk management, security and defence. Traditional methods have proven insufficient to address these problems and hence Computational Intelligence techniques present themselves as a more appealing alternative.

Areas of Interest and Contributions

We seek both theoretical developments and applications of Computational Intelligence to these subjects. All bio-inspired computational paradigms are welcome, mainly Genetic and Evolutionary Computation, but also Fuzzy Logic, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and others, including hybrids.
Topics include but are not limited to:

Publication Details

Accepted papers will appear in the proceedings of EvoStar, published in a volume of the Springer Lecture Notes in Computer Science, which will be available at the Conference.

Submission Details

Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper.

Submit your manuscript in Springer LNCS format.

Page limit: 10 pages to http://myreview.csregistry.org/evoapps13/.

Submission deadline: 1 November 2012 Extended to 11 November 2012

Programme Committee