DocumentCode
2245187
Title
Evolutional shape modeling by extended genetic algorithm: multi-step GA
Author
Watabe, Hirokazu ; Kawaoka, Tsukasa
Author_Institution
Dept. of Knowledge Eng. & Comput. Sci., Doshisha Univ., Kyoto, Japan
Volume
3
fYear
1998
fDate
21-23 Apr 1998
Firstpage
317
Abstract
In a computer aided design (CAD) system, shape design or shape modeling is one often a bottleneck because shape design is a trial and error process often depending on a designer´s intuition and experience. Authors have already presented a method, named evolutional shape modeling (ESM), to generate suitable shapes automatically using genetic algorithm (GA) and free-form deformation (FFD). This ESM method, however, has a limitation on its ability of shape generation because of the limitation on FFD´s shape deformation ability and the limitation on standard GA´s ability. This paper proposes a new evolutional shape modeling method. It includes new genetic algorithm, named multistep GA, which can avoid premature convergence, and new constructing method of FFD by which shape deformation ability is highly improved
Keywords
CAD; computational geometry; genetic algorithms; iterative methods; CAD system; ESM; FFD; computer aided design; evolutional shape modeling; extended genetic algorithm; free-form deformation; multistep GA; premature convergence avoidance; shape design; shape generation; trial-and-error process; Algorithm design and analysis; Automatic generation control; Computer errors; Convergence; Deformable models; Design automation; Genetic algorithms; Gravity; Neck; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-4316-6
Type
conf
DOI
10.1109/KES.1998.725989
Filename
725989
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