Abstract
In this paper, the authors propose the user evaluation support methods for IGA (Interactive Genetic Algorithm)-based 3D room layout generation. Although IGA is useful for applying the user preferences to the solution, IGA-based systems force users to evaluate a lot of individuals, causing the fatigue of operators. Therefore, we adopted the following methods in order to cope with the problem: (a) Prediction of user preferences with a conjoint analysis. (b) Individuals clustering with a self-organizing map. To make a 3D scene such as a furniture layout, the IGA-based 3D room layout system is very helpful because it requires easy 3D graphics and manipulation only. The authors have been developing a web-based system that optimizes 3D room layouts based on user preferences. Finally, we tested the usefulness of our system with the demonstration, and had positive outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 361-395 |
| Number of pages | 35 |
| Journal | International Journal of Software Engineering and Knowledge Engineering |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 24 2015 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
- Computer Graphics and Computer-Aided Design
- Artificial Intelligence
Cite this
IGA-based interactive framework using conjoint analysis and SOM for designing room layout. / Akase, Ryuya; Okada, Yoshihiro.
In: International Journal of Software Engineering and Knowledge Engineering, Vol. 25, No. 2, 24.03.2015, p. 361-395.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - IGA-based interactive framework using conjoint analysis and SOM for designing room layout
AU - Akase, Ryuya
AU - Okada, Yoshihiro
PY - 2015/3/24
Y1 - 2015/3/24
N2 - In this paper, the authors propose the user evaluation support methods for IGA (Interactive Genetic Algorithm)-based 3D room layout generation. Although IGA is useful for applying the user preferences to the solution, IGA-based systems force users to evaluate a lot of individuals, causing the fatigue of operators. Therefore, we adopted the following methods in order to cope with the problem: (a) Prediction of user preferences with a conjoint analysis. (b) Individuals clustering with a self-organizing map. To make a 3D scene such as a furniture layout, the IGA-based 3D room layout system is very helpful because it requires easy 3D graphics and manipulation only. The authors have been developing a web-based system that optimizes 3D room layouts based on user preferences. Finally, we tested the usefulness of our system with the demonstration, and had positive outcomes.
AB - In this paper, the authors propose the user evaluation support methods for IGA (Interactive Genetic Algorithm)-based 3D room layout generation. Although IGA is useful for applying the user preferences to the solution, IGA-based systems force users to evaluate a lot of individuals, causing the fatigue of operators. Therefore, we adopted the following methods in order to cope with the problem: (a) Prediction of user preferences with a conjoint analysis. (b) Individuals clustering with a self-organizing map. To make a 3D scene such as a furniture layout, the IGA-based 3D room layout system is very helpful because it requires easy 3D graphics and manipulation only. The authors have been developing a web-based system that optimizes 3D room layouts based on user preferences. Finally, we tested the usefulness of our system with the demonstration, and had positive outcomes.
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U2 - 10.1142/S0218194015400136
DO - 10.1142/S0218194015400136
M3 - Article
AN - SCOPUS:84932163474
VL - 25
SP - 361
EP - 395
JO - International Journal of Software Engineering and Knowledge Engineering
JF - International Journal of Software Engineering and Knowledge Engineering
SN - 0218-1940
IS - 2
ER -