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

  • Kyung Ho Lee
  • June Oh
  • Jong Hoon Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4304)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kyung Ho Lee
    • 1
  • June Oh
    • 2
  • Jong Hoon Park
    • 2
  1. 1.Department of Naval Architecture & Ocean EngineeringInha UniversityIncheonSouth Korea
  2. 2.Graduate School, Department of Naval Architecture & Ocean EngineeringInha UniversityIncheonSouth Korea

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