Frankensteinian methods for evolutionary music composition
Musical networks
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Eden: An Evolutionary Sonic Ecosystem
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Metacreation: Art and Artificial Life
Metacreation: Art and Artificial Life
Evolutionary Computer Music
Computer Models of Musical Creativity
Computer Models of Musical Creativity
A Real-Time Genetic Algorithm in Human-Robot Musical Improvisation
Computer Music Modeling and Retrieval. Sense of Sounds
Populations of populations: composing with multiple evolutionary algorithms
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Genetic evolution of L and FL-systems for the production of rhythmic sequences
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
evoDrummer: deriving rhythmic patterns through interactive genetic algorithms
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Generating electronica: a virtual producer and virtual DJ
Proceedings of the 9th ACM Conference on Creativity & Cognition
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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 features to query the generated database of strong individual patterns. As our main focus is upon artistic results, our methods themselves use an iterative, somewhat evolutionary, design process based upon our reaction to results.