An Algorithmic Chemistry for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{eurogp:LasarczykB05,

• author = "Christian Lasarczyk and Wolfgang Banzhaf",
• editor = "Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
• title = "An Algorithmic Chemistry for 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",
• ISBN = "3-540-25436-6",
• pages = "1--12",
• URL = "http://ls11-www.cs.uni-dortmund.de/downloads/papers/LaBa05.pdf",
• DOI = "doi:10.1007/978-3-540-31989-4_1",
• DOI = "doi:10.1007/b107383",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "Genetic Programming has been slow at realizing other programming paradigms than conventional, deterministic, sequential von- Neumann type algorithms. In this contribution we discuss a new method of execution of programs introduced recently: Algorithmic Chemistries. Therein, register machine instructions are executed in a non-deterministic order, following a probability distribution. Program behaviour is thus highly dependent on frequency of instructions and connectivity between registers. Here we demonstrate the performance of GP on evolving solutions to a parity problem in a system of this type.",
• notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in conjunction with EvoCOP2005 and EvoWorkshops2005",

}

Genetic Programming entries for Christian W G Lasarczyk Wolfgang Banzhaf

Citations