OPTISIA - An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms.

PKDD/ECML Workshops(2019)

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摘要
We propose a genetic algorithm (GA), OPTISIA, for efficiently finding optimal parameter combinations when running OMNISIA [15], a program that implements a family of analysis and compression algorithms based on the SIA point-set pattern discovery algorithm [20]. The GA, when given a point-set representation of a piece of music as input, runs OMNISIA multiple times, attempting to evolve a combination of parameter values that achieves the highest compression factor on the input piece. When evaluated on two musicological tasks, the system consistently selected well-performing parameters for Forth's algorithm [6] compared to combinations found in published evaluations on the same musicological tasks.
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关键词
Pattern discovery, Genetic algorithm, Parameter optimization, Music analysis, COSIATEC, OMNISIA, Geometric algorithms, Forth's algorithm, Point sets
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