CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2007, Vol. 24 ›› Issue (2): 187-191.

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An Improved Genetic Algorithm for Groundwater Pollution

FAN Xiaoping1,2, LI Gongsheng1   

  1. 1. Institute of Applied Mathematics, Sha'ndong University of Technology, Zibo 255049, China;
    2. School of Computer Science and Technology, Shandong University of Technology, Zibo 255049, China
  • Received:2005-12-06 Revised:2006-06-09 Online:2007-03-25 Published:2007-03-25

Abstract: An inverse problem method is employed to determine the average magnitude of acid pollutants in groundwater in Fengshui,Zibo,Shandong.Numerical testifications show that an improved genetic algorithm based on optimal perturbation analysis is feasible and efficient.It sucessfully estimates the magnitude of groundwater pollutions in the region.

Key words: groundwater pollution, inverse problem, advectiondispersion equation, genetic algorithm

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