Development of data miner for the ship design based on polynomial genetic programming

Authors:
Kyung Ho Lee;June Oh;Jong Hoon Park
Affiliations:
Department of Naval Architecture & Ocean Engineering, Inha University, Incheon, South Korea;Graduate School, Department of Naval Architecture & Ocean Engineering, Inha University, Incheon, South Korea;Graduate School, Department of Naval Architecture & Ocean Engineering, Inha University, Incheon, South Korea
Venue:
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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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.