@inproceedings{669f99235b3746a2a82eb6d5a6591fcf,
title = "Amaru - A Framework for Combining Genetic Improvement with Pattern Mining",
abstract = "We present Amaru, a framework for Genetic Improvement utilizing Abstract Syntax Trees directly at the interpreter and compiler level. Amaru also enables the mining of frequent, discriminative patterns from Genetic Improvement populations. These patterns in turn can be used to improve the crossover and mutation operators to increase population diversity, reduce the number of individuals failing at run-time and increasing the amount of successful individuals in the population.",
keywords = "compiler, framework, genetic improvement, interpreter",
author = "Oliver Krauss",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 Genetic and Evolutionary Computation Conference, GECCO 2022 ; Conference date: 09-07-2022 Through 13-07-2022",
year = "2022",
month = jul,
day = "9",
doi = "10.1145/3520304.3534016",
language = "English",
series = "GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "1930--1937",
booktitle = "GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference",
}