Undirected Training of Run Transferable Libraries

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{eurogp:KeijzerRMC05,

• author = "Maarten Keijzer and Conor Ryan and Gearoid Murphy and Mike Cattolico",
• editor = "Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
• title = "Undirected Training of Run Transferable Libraries",
• booktitle = "Proceedings of the 8th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3447",
• year = "2005",
• address = "Lausanne, Switzerland",
• month = "30 " # mar # " - 1 " # apr,
• organisation = "EvoNet",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-25436-6",
• pages = "361--370",
• DOI = "doi:10.1007/978-3-540-31989-4_33",
• DOI = "doi:10.1007/b107383",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "This paper investigates the robustness of Run Transferable Libraries(RTLs) on scaled problems. RTLs are provide GP with a library of functions which replace the usual primitive functions provided when approaching a problem. The RTL evolves from run to run using feedback based on function usage, and has been shown to outperform GP by an order of magnitude on a variety of scalable problems. RTLs can, however, also be applied across a {em domain} of related problems, as well as across a range of scaled instances of a single problem. To this successfully, it will need to balance a range of functions. We introduce a problem that can deceive the system into converging to a sub-optimal set of functions, and demonstrate that this is a consequence of the greediness of the library update algorithm. We demonstrate that a much simpler, truly evolutionary, update strategy doesn't suffer from this problem, and exhibits far better optimisation properties than the original strategy.",
• notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in conjunction with EvoCOP2005 and EvoWorkshops2005",

}

Genetic Programming entries for Maarten Keijzer Conor Ryan Gearoid Murphy Mike Cattolico

Citations