Evolve Schema Directly Using Instruction Matrix Based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{eurogp:LiLL05,

• author = "Gang Li and Kin-Hong Lee and Kwong-Sak Leung",
• editor = "Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
• title = "Evolve Schema Directly Using Instruction Matrix Based Genetic Programming",
• 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 = "271--280",
• DOI = "doi:10.1007/978-3-540-31989-4_24",
• DOI = "doi:10.1007/b107383",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "This paper proposes a new architecture for tree-based genetic programming to evolve schemata directly. It uses fixed length hs-expressions to represent program trees in any shape, keeps schemata information in an instruction matrix, and extracts individuals from it. In order to manipulate the instruction matrix and the hs-expression, new genetic operators and a new fitness evaluation function are developed. The experimental results verify that its results are much better than those of the canonical genetic programming on the problems tested in this paper.",
• notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in conjunction with EvoCOP2005 and EvoWorkshops2005",

}

Genetic Programming entries for Gang Li Kin-Hong Lee Kwong-Sak Leung

Citations