Embedding Genetic Improvement into Programming Languages

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Yoo:2017:GI,

• author = "Shin Yoo",
• title = "Embedding Genetic Improvement into Programming Languages",
• booktitle = "GI-2017",
• year = "2017",
• editor = "Justyna Petke and David R. White and W. B. Langdon and Westley Weimer",
• pages = "1551--1552",
• address = "Berlin",
• month = "15-19 " # jul,
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, genetic improvement, Search-based software engineering, SBSE, Self Adaptation, Programming Language",
• isbn13 = "978-1-4503-4939-0",
• URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/yoo2017_embedding_gi.pdf",
• DOI = "doi:10.1145/3067695.3082516",
• size = "2 pages",
• abstract = "We present a vision of genetic improvement firmly embedded in, and supported by, programming languages. Genetic improvement has already been envisioned as the next compiler, which would take human written programs as input and return versions optimised with respect to various objectives. As an intermediate stage, or perhaps to complement the fully automated vision, we imagine genetic improvement processes that are hinted at and directed by humans but understood and undertaken by programming languages and their run-times, via interactions through the source code. We examine existing similar ideas and examine the benefits of embedding them within programming languages.",
• notes = "Context-orientated programming, @optimize, optional, @approximate, Specialise of runtime environment, consolidated and smoother learning cure",

}

Genetic Programming entries for Shin Yoo

Citations