Application of the Genetic Algorithm to Aesthetic Design of Dam Structures

2009 ◽  
Author(s):  
H. Furuta ◽  
H. Hase ◽  
E. Watanabe ◽  
T. Tonegawa ◽  
H. Morimoto
Keyword(s):  
Genetic Algorithm ◽  
Aesthetic Design

Applications of genetic algorithm to aesthetic design of dam structures

1996 ◽  
Vol 25 (2-3) ◽  
pp. 185-195 ◽  
Author(s):  
Hitoshi Furuta ◽  
Hideaki Hase ◽  
Eiichi Watanabe ◽  
Taro Tonegawa ◽  
Hiroyuki Morimoto
Keyword(s):  
Genetic Algorithm ◽  
Aesthetic Design

Human Head Aesthetic Design Using Hybrid Genetic Algorithm

2002 ◽  
Author(s):  
Zhi Gang Xu ◽  
JianFeng Li
Keyword(s):  
Genetic Algorithm ◽  
3D Modeling ◽  
Hybrid Genetic Algorithm ◽  
Human Head ◽  
Aesthetic Design ◽  
Cad System ◽  
Mesh Model ◽  
Profile Design ◽  
Design Result ◽  
Selection Of

In this paper a paradigm of human head aesthetic design based on hybrid genetic algorithm is proposed. Hybrid means the integration of interactive and natural selection of the population in genetic algorithm during the evolution process. Firstly, a sketching paradigm is proposed to sketch the head profile by mouse input, the profile is then parameterized and modified; quantities of more profiles are generated based on GA optimizer, where the user can select the best one. After 2D profile design, a 3D reconstitution algorithm is developed to construct the 3D head in NURBS model by analyzing four input sketching curves, i.e. one longitudinal curve, three side profile curves. The 3D head mesh model is capable of modification and easy to be manipulated. The prototype CAD system is developed based on ACIS 3D modeling kernel, and the design result is illustrated to show the effectiveness of this paradigm.

Application of Genetic Algorithm to Aesthetic Design of Bridge Structures

1995 ◽  
Vol 10 (6) ◽  
pp. 415-421 ◽  
Author(s):  
Hitoshi Furuta ◽  
Kenji Maeda ◽  
Eiichi Watanabe
Keyword(s):  
Genetic Algorithm ◽  
Aesthetic Design ◽  
Bridge Structures

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

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