Applying Genetic Algorithms to Establish Disaster Decision Support System for Flooding Evacuation Path of Hsichih Area in Taiwan

Because of the special geography features and subtropics weather in Taiwan, we need to provide correct information to help people making decision when they are in disaster. So the disaster decision support system must offer proper information of evacuation path to people. 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. Firstly, we establish the node relationship of GA calculation, the level of the weight is the standard of the date that is exported by Disaster Database. Secondly, we apply GA to calculate different evacuation path in different time series. Finally, we build the model of choosing flooding evacuation path.