SOURCE Abstracts
Genetic algorithm solutions for automatic conversion between
microtonal music notation systems
Stefik, Andreas; Curtiss, Mark; Harris, Melissa
Faculty Mentor(s): Drs. Ed Gellenbeck and Razvan Andonie,
Computer Science
The general problem this project is trying to solve is to allow
the automatic conversion between two microtonal music notation
systems. In essence, this problem involves two criteria. The
first is seeing if your solution solves the given problem,
using a series of n-dimensional matrices as a guideline, and
the second is teaching the computer to find the simplest
solution to the problem. Getting the simplest solution is
critical, and non-trivial, as there are an infinite number of
solutions. The simplest solution is defined as the one that is
the easiest for a performer to actually read, and this usually
involves having the least number of accidentals that can be
displayed on the screen for any given note. The end result of
the project is to be able to get an approximate solution to the
conversion in close to real time.