The Generalisation Ability of a Selection Architecture for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7954

@InProceedings{Jackson:2008:PPSN,

• author = "David Jackson",
• title = "The Generalisation Ability of a Selection Architecture for Genetic Programming",
• booktitle = "Parallel Problem Solving from Nature - PPSN X",
• year = "2008",
• editor = "Gunter Rudolph and Thomas Jansen and Simon Lucas and Carlo Poloni and Nicola Beume",
• volume = "5199",
• series = "LNCS",
• pages = "468--477",
• address = "Dortmund",
• month = "13-17 " # sep,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-87699-5",
• DOI = "doi:10.1007/978-3-540-87700-4_47",
• abstract = "As an alternative to various existing approaches to incorporating modular decomposition and reuse in genetic programming (GP), we have proposed a new method for hierarchical evolution. Based on a division of the problem's test case inputs into subsets, it employs a program structure that we refer to as a selection architecture. Although the performance of GP systems based on this architecture has been shown to be superior to that of conventional systems, the nature of evolved programs is radically different, leading to speculation as to how well such programs may generalise to deal with previously unseen inputs. We have therefore performed additional experimentation to evaluate the approach's generalisation ability, and have found that it seems to stand up well against standard GP in this regard.",
• notes = "PPSN X",

}

Genetic Programming entries for David Jackson

Citations