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 |
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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 |
All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
- Computer Graphics and Computer-Aided Design
- Artificial Intelligence