Layout algorithm for an EC-based room layout planning support system

Makoto Inoue, Hideyuki Takagi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

We introduce a new layout algorithm, along with its underlying growth rules, and propose its use in generating room layout plans. We apply it to room layout planning, investigate its characteristics by observing the generated room layout plans, and discuss our results. We also introduce a framework for a room layout planning support system consisting of the layout algorithm, evolutionary multi-objective optimization (EMO), interactive evolutionary computation (IEC), and a graphical user interface. The proposed layout algorithm, inspired by cellular automata, grows rooms from the initial subspace seed coordinates according to a set of growth rules and fills out the entire provided space with the grown subspaces. The room layout planning support system uses the layout algorithm to generate rooms which fill a specified residential space and evolves the plans using the multiple objectives of by way of EMO and human visual inspectionthrough IEC until a satisfactory layout plan is obtained.

Original languageEnglish
Title of host publicationSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
Pages165-170
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan
Duration: Jun 25 2008Jun 27 2008

Publication series

NameSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Other

Other2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
CountryJapan
CityMuroran
Period6/25/086/27/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Industrial and Manufacturing Engineering

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