Improving Gene Expression Programming Using Parallel Taboo Search

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

@InProceedings{conf/icnc/RaoWY09,

• author = "Yuan Rao and Ru-chuan Wang and Chang-an Yuan",
• title = "Improving Gene Expression Programming Using Parallel Taboo Search",
• booktitle = "Fifth International Conference on Natural Computation, 2009. ICNC '09",
• year = "2009",
• editor = "Haiying Wang and Kay Soon Low and Kexin Wei and Junqing Sun",
• month = "14-16 " # aug,
• pages = "144--148",
• address = "Tianjian, China",
• publisher = "IEEE Computer Society",
• keywords = "genetic algorithms, genetic programming, gene expression programming, Tabu Search",
• isbn13 = "978-0-7695-3736-8",
• bibdate = "2010-01-21",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icnc/icnc2009-3.html#RaoWY09",
• DOI = "doi:10.1109/ICNC.2009.124",
• abstract = "By the strategy of exerting advantage and avoiding disadvantage respectively, hybrid GEP (gene expression programming) algorithm includes many advantages, which can effectively improve the efficiency of GEP and offer more effective solution to the difficult problems of technology and engineering fields. This paper proposes GEP-PTS algorithm, which combines simple GEP and PTS. In GEP-PTS, we propose parallel taboo search (PTS) based on simple taboo search to conduct local search. Extensive experiments show that the accuracy of function model found by GEP-PTS is improved 4.19percent-7.93percent compared with simple GEP.",
• notes = "Also known as \cite{5365612}",

}

Genetic Programming entries for Yuan Rao Ru-chuan Wang Chang-an Yuan

Citations