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We present GESMI (Generative Electronica Statistical Modeling Instrument), a software system that generates Electronic Dance Music (EDM) using evolutionary methods. While using machine learning, GESMI rests on a corpus analysed and transcribed by domain experts. We describe a method for generating the overall form of a piece and individual parts, including specific patterns sequences, using evolutionary algorithms. Lastly, we describe how the user can use contextually-relevant target featuresdoi:10.1145/2463372.2463415 dblp:conf/gecco/EigenfeldtP13 fatcat:52yshzvenvb3nmpew2vpxqujva