IGA-based interactive framework using conjoint analysis and SOM for designing room layout

Ryuya Akase, Yoshihiro Okada

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)361-395
Number of pages35
JournalInternational Journal of Software Engineering and Knowledge Engineering
Volume25
Issue number2
DOIs
Publication statusPublished - Mar 24 2015

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

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