The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
No desenho e design auxiliado por computador, gráficos interativos são usados para projetar componentes, sistemas, layouts e estruturas. Existem várias abordagens para usar ferramentas automatizadas de layout gráfico atualmente. Nossa abordagem emprega um algoritmo genético para implementar uma ferramenta para design e apresentação automatizada de layout gráfico 3D. O uso eficaz de um algoritmo genético no design de layout gráfico automatizado depende da definição de uma função de aptidão que reflita as preferências do usuário. Neste artigo, descrevemos um método para definir funções de aptidão e estruturas cromossômicas de objetos selecionados. Um mecanismo de aprendizagem é empregado para ajustar os valores de aptidão dos objetos no layout selecionado pelo usuário. Na nossa abordagem, as funções de fitness podem ser alteradas de forma adaptativa, refletindo as preferências do usuário. Os resultados experimentais revelaram um bom desempenho das funções de aptidão adaptativa no nosso mecanismo proposto.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Aranya WALAIRACHT, Shigeyuki OHARA, "Proposal of 3D Graphics Layout Design System Using GA" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 4, pp. 759-766, April 2002, doi: .
Abstract: In computer-aided drafting and design, interactive graphics is used to design components, systems, layouts, and structures. There are several approaches for using automated graphical layout tools currently. Our approach employs a genetic algorithm to implement a tool for automated 3D graphical layout design and presentation. The effective use of a genetic algorithm in automated graphical layout design relies on defining a fitness function that reflects user preferences. In this paper, we describe a method to define fitness functions and chromosome structures of selected objects. A learning mechanism is employed to adjust the fitness values of the objects in the selected layout chosen by the user. In our approach, the fitness functions can be changed adaptively reflecting user preferences. Experimental results revealed good performance of the adaptive fitness functions in our proposed mechanism.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_4_759/_p
Copiar
@ARTICLE{e85-d_4_759,
author={Aranya WALAIRACHT, Shigeyuki OHARA, },
journal={IEICE TRANSACTIONS on Information},
title={Proposal of 3D Graphics Layout Design System Using GA},
year={2002},
volume={E85-D},
number={4},
pages={759-766},
abstract={In computer-aided drafting and design, interactive graphics is used to design components, systems, layouts, and structures. There are several approaches for using automated graphical layout tools currently. Our approach employs a genetic algorithm to implement a tool for automated 3D graphical layout design and presentation. The effective use of a genetic algorithm in automated graphical layout design relies on defining a fitness function that reflects user preferences. In this paper, we describe a method to define fitness functions and chromosome structures of selected objects. A learning mechanism is employed to adjust the fitness values of the objects in the selected layout chosen by the user. In our approach, the fitness functions can be changed adaptively reflecting user preferences. Experimental results revealed good performance of the adaptive fitness functions in our proposed mechanism.},
keywords={},
doi={},
ISSN={},
month={April},}
Copiar
TY - JOUR
TI - Proposal of 3D Graphics Layout Design System Using GA
T2 - IEICE TRANSACTIONS on Information
SP - 759
EP - 766
AU - Aranya WALAIRACHT
AU - Shigeyuki OHARA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2002
AB - In computer-aided drafting and design, interactive graphics is used to design components, systems, layouts, and structures. There are several approaches for using automated graphical layout tools currently. Our approach employs a genetic algorithm to implement a tool for automated 3D graphical layout design and presentation. The effective use of a genetic algorithm in automated graphical layout design relies on defining a fitness function that reflects user preferences. In this paper, we describe a method to define fitness functions and chromosome structures of selected objects. A learning mechanism is employed to adjust the fitness values of the objects in the selected layout chosen by the user. In our approach, the fitness functions can be changed adaptively reflecting user preferences. Experimental results revealed good performance of the adaptive fitness functions in our proposed mechanism.
ER -