Evolve Schema Directly Using Instruction Matrix Based Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @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