Solving Even-Parity Problems using Traceless Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{oltean:2004:seputgp,

• title = "Solving Even-Parity Problems using Traceless Genetic Programming",
• author = "Mihai Oltean",
• volume = "2",
• pages = "1813--1819",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• email = "moltean@cs.ubbcluj.ro",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, Evolutionary design \& evolvable hardware, traceless genetic programming, parity",
• size = "7 pages",
• URL = "http://www.tgp.cs.ubbcluj.ro/oltean_tgp.pdf",
• DOI = "doi:10.1109/CEC.2004.1331116",
• abstract = "A new Genetic Programming (GP) variant called Traceless Genetic Programming (TGP) is proposed in this paper. The main difference between TGP and other GP techniques is that TGP does not explicitly store the evolved computer programs. TGP is applied for evolving digital circuits for the even-parity problem. Numerical experiments show that TGP outperforms standard GP with several orders of magnitude.",
• notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.

  Also available at www.tgp.cs.ubbcluj.ro",

}

Genetic Programming entries for Mihai Oltean

Citations