Populations of populations: composing with multiple evolutionary algorithms

Authors:
Arne Eigenfeldt;Philippe Pasquier
Affiliations:
School for the Contemporary Arts, Simon Fraser University, Vancouver, Canada;School for Interactive Arts and Technology, Simon Fraser University, Surrey, Canada
Venue:
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Year:
2012

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Abstract

We present a music composition system in which musical motives are treated as individuals within a population, and that the audible evolution of populations over time are of musical interest. The system additionally uses genetic algorithms to generate high level musical aspects that control how the population is presented, and how it may be combined with other populations. These algorithms feature fitness functions that adapt based upon context: specifically, by using an analysis of the evolving population, the fitness functions adjust their constituent parameters in selecting strong individuals.