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http://dx.doi.org/10.3744/SNAK.2015.52.1.1

A Study on Weight Estimation Model of Floating Offshore Structures using Enhanced Genetic Programming Method  

Um, Tae-Sub (School of Naval Architecture and Ocean Engineering, University of Ulsan)
Roh, Myung-Il (Department of Naval Architecture and Ocean Engineering, Seoul National University)
Shin, Hyunkyoung (School of Naval Architecture and Ocean Engineering, University of Ulsan)
Publication Information
Journal of the Society of Naval Architects of Korea / v.52, no.1, 2015 , pp. 1-7 More about this Journal
Abstract
The weight estimation of floating offshore structures such as FPSO, TLP, semi-Submersibles, Floating Offshore Wind Turbines etc. in the preliminary design, is one of direct measures of both construction cost and basic performance. Through both literature investigation and internet search, the weight data of floating offshore structures such as FPSO and TLP was collected. In this study, the weight estimation model with the genetic programming was suggested for FPSO. The weight estimation model using genetic programming was established by fixing the independent variables based on this data. In addition, the correlation analysis was performed to make up for the weak points of genetic programming; it is apt to induce over-fitting when the number of data is relatively smaller than that of independent variables. That is, by reducing the number of variables through the analysis of the correlation between the independent variables, the increasing effect in the number of weight data can be expected. The reliability of the developed weight estimation model was within 2% of error rate.
Keywords
Weight estimation model; Genetic programming; Offshore structures; Correlation analysis;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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