scholarly journals Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming

2021 ◽  
Author(s):  
Mingyuan Zhong ◽  
Gang Li ◽  
Yang Li
Keyword(s):  
Genetic Programming ◽  
Design Exploration ◽  
Ui Design

Aerodynamic Design Exploration for Reusable Launch Vehicle Using Multi-Objective Genetic Programming

2011 ◽  
Author(s):  
Tomoaki Tatsukawa ◽  
Taku Nonomura ◽  
Akira Oyama ◽  
Kozo Fujii
Keyword(s):  
Genetic Programming ◽  
Launch Vehicle ◽  
The Body ◽  
Design Parameters ◽  
Aerodynamic Design ◽  
Original Design ◽  
Design Exploration ◽  
Multi Objective ◽  
Reusable Launch Vehicle ◽  
Multiple Variables

A new type of multi-objective genetic programming (MOGP) for design exploration is proposed. The feature of the new MOGP is the simultaneous symbolic regression to multiple variables using correlation coefficients. This methodology is applied to Pareto-optimal solutions of the multi-objective aerodynamic design optimization problem of a bi-conical shape reusable launch vehicle. The MOGP presents symbolic equations which have high correlations to zero-lift drag at supersonic condition, maximum lift-to-drag at supersonic condition and volume of shape through single MOGP run. These equations also have high correlation to another parameter of the body geometry. These results indicate that MOGP is capable of finding composite more efficient design parameters from original design parameters.

When a user interface is good enough: User ratings in UI design

2010 ◽  
Author(s):  
Martin L. Fracker ◽  
Michal Heck ◽  
George Goeschel
Keyword(s):  
User Interface ◽  
Ui Design ◽  
User Ratings

Classification of EEG Signals using Genetic Programming

2017 ◽  
Author(s):  
Marco Antonio Meggiolaro ◽  
Felipe Rebelo Lopes
Keyword(s):  
Genetic Programming ◽  
Eeg Signals
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