Skip to main content
Conference Proceedings

Genetic improvement of software for multiple objectives

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9275 12-28
DOI: 10.1007/978-3-319-22183-0_2
19Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Genetic programming (GP) can increase computer program’s functional and non-functional performance. It can automatically port or refactor legacy code written by domain experts. Working with programmers it can grow and graft (GGGP) new functionality into legacy systems and parallel Bioinformatics GPGPU code. We review Genetic Improvement (GI) and SBSE research on evolving software.

Cite

CITATION STYLE

APA

Langdon, W. B. (2015). Genetic improvement of software for multiple objectives. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9275, pp. 12–28). Springer Verlag. https://doi.org/10.1007/978-3-319-22183-0_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free