Simplified Model for the Weight Estimation of Floating Offshore Structure Using the Genetic Programming Method

2014 ◽  
Vol 19 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Tae-Sub Um ◽  
Myung-Il Roh ◽  
Hyun-Kyung Shin ◽  
Sol Ha
Keyword(s):  
Genetic Programming ◽  
Programming Method ◽  
Simplified Model ◽  
Weight Estimation ◽  
Offshore Structure

scholarly journals Forecasting the OECD Fixed Broadband Penetration with Genetic Programming Method, Diffusion Models and Macro-Economic Indicators

2016 ◽  
Vol 21 (1) ◽  
pp. 47-55
Author(s):  
Konstantinos Salpasaranis ◽  
Vasilios Stylianakis
Keyword(s):  
Genetic Programming ◽  
High Performance ◽  
Oecd Countries ◽  
Diffusion Models ◽  
Causal Models ◽  
Programming Method ◽  
Economic Indicators ◽  
Combination Method ◽  
Technological Forecasting ◽  
Statistical Indicators

Abstract This paper presents the implementation of a modified Genetic Programming (GP) method in forecasting fixed broadband telecommunications penetration percentage in Organisation for Economic Co-operation and Development (OECD) countries. The specific GP method combines the use of known diffusion models for technological forecasting purposes, such as Logistic, Gompertz and Bass and the GP. The combination method produces both time dependant and causal models with high performance statistical indicators. Also, multiple approaches to forecasting can be implemented, mainly with no big datasets.

Simplified Model for the Weight Estimation of Floating Offshore Plant Using the Statistical Method

2014 ◽  
Author(s):  
Myung-Il Roh ◽  
Seong-Ho Seo ◽  
Hyun-Kyoung Shin ◽  
Nam-Kug Ku ◽  
Sol Ha ◽  
...  
Keyword(s):  
Statistical Method ◽  
Production Method ◽  
Simplified Model ◽  
Design Stage ◽  
Production Data ◽  
Weight Estimation ◽  
Important Data ◽  
Early Design Stage ◽  
Key Factor ◽  
Production Period

The weight information of a floating offshore plant, such as an FPSO, is one of the important data to estimate the amount of production material and to determine the production method for its construction. In addition, the weight information is a key factor which affects in the building cost and production period of the offshore plant. Although the importance of the weight has long been recognized, the weight has been roughly estimated by using the existing design and production data, and designer’s experience. To improve this task, a simplified model for the weight estimation of the offshore plant using the statistical method was developed in this study. To do this, various past records to estimate the weight of the offshore plant were collected through the literature survey, and then the correlation analysis and the multiple regression analysis were performed to develop the simplified model for the weight estimation. Finally, to evaluate the applicability of the developed model, it was applied to some examples of the weight estimation of topsides of the offshore plant. The results showed that the developed model can be applied the weight estimation process of the offshore plant at the early design stage.

Modelling the Structural Steel Hardness Using Genetic Programming Method

2014 ◽  
Vol 1036 ◽  
pp. 580-585 ◽  
Author(s):  
Przemysław Papliński ◽  
Wojciech Sitek ◽  
Jacek Trzaska
Keyword(s):  
Artificial Intelligence ◽  
Genetic Programming ◽  
Structural Steel ◽  
Carbon Concentration ◽  
Material Science ◽  
Modern Science ◽  
Programming Method ◽  
Artificial Intelligence Methods

The aim of the paper is to demonstrate, how artificial intelligence methods, especially genetic ones, naturally combine with problems of material science. On the example of modelling a function showing how carbon concentration in steel changes its hardness it was shown how modern artificial intelligence methods can easily be adapted for solving problems of modern science. The paper presents the possibility of applying genetic programming to model properties of the steel.

scholarly journals Genetic Programming Method for Satellite System Topology and Parameter Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Jinhui Li ◽  
Yunfeng Dong ◽  
Ming Xu ◽  
Hongjue Li
Keyword(s):  
Genetic Programming ◽  
System Design ◽  
Evaluation System ◽  
Satellite System ◽  
Earth Observation ◽  
Tree Structure ◽  
Programming Method ◽  
Earth Observation Satellite ◽  
Physical Fields ◽  
System Topology

In this paper, a genetic programming method for satellite system design is proposed to simultaneously optimize the topology and parameters of a satellite system. Firstly, the representation of satellite system design is defined according to the tree structure. The genetic programming method is designed based on that representation. Secondly, according to the tree structure of different satellite schemes, different multiscale satellite models are established, in which various physical fields couple together. Then, an evaluation system is also proposed to test the performances of different satellite schemes. Finally, the application to the design of an earth observation satellite demonstrates the effectiveness of the proposed method.

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