CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id 315caadria2004
authors Kuo-Chung Wen, Wei-Lung Chen
year 2004
title Application of Genetic Algorithms to Establish Flooding Evacuation Path Model in Metropolitan Area
source CAADRIA 2004 [Proceedings of the 9th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] Seoul Korea 28-30 April 2004, pp. 557-570
summary This research has shown the difficulties associated with the GIS and the flooding evacuation path search through the huge searching space generated during the network analysis process. This research also presents an approach to these problems by utilizing a search process whose concept is derived from natural genetics. Genetic algorithms (GAs) have been introduced in the optimization problem solving area by Holland (1975) and Goldberg (1989) and have shown their usefulness through numerous applications. We apply GA and GIS to choice flooding evacuation path in metropolitan area in this study. We take the region of Shiji city in Taiwan for case. That could be divided into four parts. First, is to set the population of GA operation. Second, is to choose crossover and mutation. Third, is to calculate the fitness function of each generation and to select the better gene arrangement. Fourth, is to reproduce, after evolution, we can establish Flooding Evacuation Path that more reflect really human action and choice when flood takes place. However we can apply GA to calculate different evacuation path in different time series. Final, we compare and establish real model of evacuation path model to choosing flooding evacuation path.
series CAADRIA
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