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《JOURNAL OF CHANGCHUN UNIVERSITY OF SCIENCE AND TECHNOLOGY》 1999-03
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APPLICATION OF GENETIC ALGORITHM TO NONLINER GROUNDWATER ECONOMIC MANAGEMENT MODEL

Shao Jingli, Wei Jiahua, Cui Yali(China University of Geosciences, Beijing 100083) Wen Tangzhang(Lunan Geoengineering Institute, Yanzhou 272000)  
Classic techniques such as nonlinear programming are regularly used to solve groundwater optimization problems. However, these problems can be highly nonlinear and nonconvex mathematical programming problems, especially in the case of economic management model. As such, there is no guarantee that a global optimum will be found by these gradientbased methods. Genetic algorithm(GA), a new approach to nonlinear groundwater management problem, is presented in this paper. We introduced the methodology, model development, and results of applying the genetic algorithm approach to solve a nonlinear groundwater distributed parameter management model of Yangzhuang basin in Shangdong Province. The results show that genetic algorithm can effectively and efficiently be used to obtain globally (or, at least near globally) optimal solutions to these problems.
【Fund】: 国家教委博士点基金
【CateGory Index】: P641.8
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