Proceedings of the European Conference on Genetic Programming
Schemata evolution and building blocks
Evolutionary Computation
Music Segmentation With Genetic Algorithms
DEXA '09 Proceedings of the 2009 20th International Workshop on Database and Expert Systems Application
Using Heuristic Optimization for Segmentation of Symbolic Music
Computer Aided Systems Theory - EUROCAST 2009
Application of an island model genetic algorithm for a multi-track music segmentation problem
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
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The schema theorem provides theoretical background for the effectiveness of genetic algorithms and serves as a formal model to explain their success. It describes the functionality of genetic algorithms under very restrictive limitations of a canonical genetic algorithm which applies a binary alphabet, individuals of equal length, fitness-proportional selection, single-point crossover, and gene-wise mutation. Applications of genetic algorithms, however, are often based on noncanonical variations and, therefore, are not verified by the theory of the traditional theorem. This paper describes the adaption of the theorem for various other crossover and mutation operators focusing on the application of genetic algorithms to a music segmentation problem.