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Abstract:
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Nature has developed an ingenious language to describe organisms: the genetic system. From theory we know that the choice of representation has a crucial influence on the search distribution and the chances to find solutions in a search process. In this view, how can we learn a suitable representation from previous evaluations of samples that will facilitate the search for better solutions? And how can continuous self-adaptation of the representation in evolutionary processes be performed and understood? In this workshop we gather work from different approaches to these questions and initiate a discussion, particularly between people from different theoretical, experimental, or biological backgrounds, aiming at a common framework and language to address such questions.
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