- author = "W. B. Langdon",
- title = "Genetic Improvement of Programs",
- booktitle = "18th International Conference on Soft Computing, MENDEL 2012",
- editor = "Radomil Matousek",
- year = "2012",
- address = "Brno, Czech Republic",
- edition = "2nd",
- month = "27-29 " # jun,
- publisher = "Brno University of Technology",
- note = "Invited keynote",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, GISMOE, evolutionary computing, software engineering, refactoring, software maintenance, automatic software re-engineering, SBSE, GPGPU, CUDA, nVidia GPU, automatic programming, BNF grammar GP",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2012_mendel.pdf",
- size = "6 pages",
- abstract = "Evolutionary computing, particularly genetic programming, can optimise software and software engineering, including evolving test benchmarks, search meta-heuristics, protocols, composing web services, improving hashing and garbage collection, redundant programming and even automatically fixing bugs. Often there are many potential ways to balance functionality with resource consumption. But a human programmer cannot try them all. Also the optimal trade off may be different on each hardware platform and it could vary over time or as usage changes. It may be genetic programming can automatically suggest different trade offs for each new market.",
-
notes = "
http://www.mendel-conference.org/?link=invited12",
