Abstract
The effects of various genetic operators and parent selection algorithms on the performance of a genetic programming system on different problems have been well studied. In this paper, we analyze how different selection algorithms influence modularity in the population of evolving programs. In particular, we observe how the number of individuals with some form of modular structure, i.e., the presence of code blocks executed multiple times, changes over generations for various selection algorithms.
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CITATION STYLE
Saini, A. K., & Spector, L. (2020). Effect of Parent Selection Methods on Modularity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12101 LNCS, pp. 184–194). Springer. https://doi.org/10.1007/978-3-030-44094-7_12
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