Embedding Genetic Improvement into Programming Languages

被引：0
|
作者：
Yoo, Shin [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, 291 Daehak Ro, Daejeon 34141, South Korea
来源：
PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION) | 2017年
关键词：
Genetic Improvement; Self Adaptation; Programming Language; SOFTWARE;
D O I：
10.1145/3067695.3082516
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 runtimes, via interactions through the source code. We examine existing similar ideas and examine the benefits of embedding them within programming languages.
引用
收藏
页码：1551 / 1552
页数：2
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