Authors: Juliang Jin, Yuliang Zhou, Yi-Ming Wei, Fang Tong
Addresses: College of Civil Engineering, Hefei University of Technology, Hefei 230009, China. ' College of Civil Engineering, Hefei University of Technology, Hefei 230009, China. ' Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100080, China. ' College of Water Resources and Environment, Hohai University, Nanjing 210098, China
Abstract: Exact evaluation of flood disaster loss is important in scientific decision-making of reducing the effect of disasters. The difficulty is how to establish a right model for describing complex relation hidden in the input and output data of the evaluation system when the model structure is unknown. So, a new evaluation method based on genetic algorithm of changeable structure is presented. The result shows that a good function expression reflecting the complex relation hidden in system input and output data can be obtained, and the method is of high precision and interpretable physical meaning which can be applied to evaluation systems.
Keywords: loss evaluation; flood disaster loss; evolutionary modelling; genetic algorithms; GAs; scientific decision making.
International Journal of Risk Assessment and Management, 2008 Vol.8 No.4, pp.333 - 341
Published online: 27 Jun 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article