Call for papers, Genetic Improvement, 2024

Genetic Improvement is the application of evolutionary and search-based optimisation methods to the improvement of existing software. It has been used to improve both software functional properties, such as fixing bug or performing automated code transplantation, and software non-functional properties, such as minimising execution time, memory usage, or energy consumption.

We invite submissions that discuss recent developments in all areas of research on, and applications of, Genetic Improvement. Topics of interest include both the theory and practice of Genetic Improvement. Applications of GI include, but are not limited to:

•Improve runtime efficiency

•Decrease memory consumption

•Decrease energy consumption

•Transplant new functionality

•Specialise software

•Generate multiple versions of software

•Improve low level or binary code

•Use of AI/large language models with GI

•Repair bugs

•GI techniques in industrial settings