Development of Data Miner for the Ship Design Based on Polynomial Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{DBLP:conf/ausai/LeeOP06,

• author = "Kyung Ho Lee and June Oh and Jong Hoon Park",
• title = "Development of Data Miner for the Ship Design Based on Polynomial Genetic Programming",
• booktitle = "Australian Conference on Artificial Intelligence",
• year = "2006",
• pages = "981--985",
• editor = "Abdul Sattar and Byeong Ho Kang",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "4304",
• address = "Hobart, Australia",
• month = dec # " 4-8",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• keywords = "genetic algorithms, genetic programming, PGP, regularisation",
• ISBN = "3-540-49787-0",
• DOI = "doi:10.1007/11941439_108",
• size = "5 pages",
• abstract = "Engineering data contains the experiences and know-how of experts. Data mining technique is useful to extract knowledge or information from the accumulated existing data. This paper deals with generating optimal polynomials using genetic programming (GP) as the module of Data Miner. The Data Miner for the ship design based on polynomial genetic programming is presented.",

}

Genetic Programming entries for Kyung Ho Lee June Oh Jong Hoon Park

Citations