Cumincad : CUMINCAD Papers : Paper 2483:Learning and reusing information in space layout problems using genetic engineering

authors	Gero, J.S. and Kazakov, V.
year	1997
title	Learning and reusing information in space layout problems using genetic engineering
source	Artificial Intelligence in Engineering 11(3):329-334
summary	The paper describes the application of a genetic engineering based extension to genetic algorithms to the layout planning problem. We study the gene evolution which takes place when an algorithm of this type is running and demonstrate that in many cases it effectively leads to the partial decomposition of the layout problem by grouping some activit ies together and optimally placing these groups during the first stage of the computation. At a second stage it optimally places activities within these groups. We show that the algorithm finnds the solution faster than standard evolutionary methods and that evolved genes represent design features that can be re-used later in a range of similar problems.
keywords	Genetic Engineering, Learning
series	other
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last changed	2001/09/08 12:04

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