Multiple Objective Vector-Based Genetic Programming Using Human-Derived Primitives

Abstract

Traditional genetic programming only supports the use of arithmetic and logical operators on scalar features. The GTMOEP (Georgia Tech Multiple Objective Evolutionary Programming) framework builds upon this by also handling feature vectors, allowing the use of signal processing and machine learning functions as primitives, in addition to the more… (More)
DOI: 10.1145/2739480.2754694

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Cite this paper

@inproceedings{Zutty2015MultipleOV, title={Multiple Objective Vector-Based Genetic Programming Using Human-Derived Primitives}, author={Jason Zutty and Daniel Long and Heyward Adams and Gisele Bennett and Christina Baxter}, booktitle={GECCO}, year={2015} }