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The main topic of my thesis is to study the influence of genetic representations on complex combinatorial optimization problems. At the present, I am applying fitness landscapes analysis to a set of linear and non-linear representations for different problems.
This study is related to one of my main interests for future research: self-organizing evolutionary algorithms. The objective is to provide a basic representation framework for developing and studying these types of algorithms. Also, I would like to explore links between complex systems (mainly self-organization and regulatory networks) with the problem of evolving representations in evolutionary algorithms.