TY - GEN
T1 - Layout algorithm for an EC-based room layout planning support system
AU - Inoue, Makoto
AU - Takagi, Hideyuki
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70349399040&partnerID=8YFLogxK
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U2 - 10.1109/SMCIA.2008.5045954
DO - 10.1109/SMCIA.2008.5045954
M3 - Conference contribution
AN - SCOPUS:70349399040
SN - 9781424437825
T3 - SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
SP - 165
EP - 170
BT - SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
T2 - 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
Y2 - 25 June 2008 through 27 June 2008
ER -