GP vs GI: if you can't beat them, join them

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Woodward:2016:GI,

• author = "John Woodward and Colin Johnson and Alexander Brownlee",
• title = "GP vs GI: if you can't beat them, join them",
• booktitle = "Genetic Improvement 2016 Workshop",
• year = "2016",
• editor = "Justyna Petke and David R. White and Westley Weimer",
• pages = "1155--1156",
• address = "Denver",
• publisher_address = "New York, NY, USA",
• month = jul # " 20-24",
• organisation = "SIGEvo",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE",
• URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/GP_vs_GI_if_you_can%E2%80%99t_beat_them_join_them.pdf",
• DOI = "doi:10.1145/2908961.2931694",
• size = "2 pages",
• abstract = "Genetic Programming (GP) has been criticized for targeting irrelevant problems [12], and is also true of the wider machine learning community [11]. which has become detached from the source of the data it is using to drive the field forward. However, recently GI provides a fresh perspective on automated programming. In contrast to GP, GI begins with existing software, and therefore immediately has the aim of tackling real software. As evolution is the main approach to GI to manipulating programs, this connection with real software should persuade the GP community to confront the issues around what it originally set out to tackle i.e. evolving real software.",
• notes = "GECCO-2016 Workshop http://geneticimprovementofsoftware.com/",

}

Genetic Programming entries for John R Woodward Colin G Johnson Alexander E I Brownlee

Citations