{"refrec":{"BRefID":27347,"RR":"<b>El Harrouni, K.; Ouazar, D.; Cheng, A.H.-D.</b> (1999). Salt-/fresh-water interface model and GAs for parameter estimation. <i>Natuurwet. Tijdschr. 79(1-4)</i>: 43-47","BEntID":27347,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":". <i>Natuurwet. Tijdschr. 79(1-4)</i>: 43-47","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":1,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"El Harrouni, K.; Ouazar, D.; Cheng, A.H.-D.","OrigTitleTranslFlag":0,"Authorstringtrunc":"El Harrouni, K.; Ouazar, D.; Cheng, A.H.-D.","Englishabstract":"Genetic Algorithms (GAs) have been applied with great success in a number of fields as tools for optimization. This paper presents an application of GAs for parameter estimation in salt-water intrusion. A Simple Genetic Algorithm (SGA) based on selection, mutation and crossover operators, and conventional binary string to represent the estimated parameters, is selected as the optimization tool. The coupled finite-elements sharp-interface approach, as computational purpose, is formulated in terms of two basic variables; namely, the head in one of the fluids (fresh water) and the depth of the interface. Two-parameter estimation problems are solved for simultaneous identification of different aquifer parameters, using some fresh-waterhead and interface-depth observations. Based on the least-squares approach, the sum of the squared differences between the observed and predicted values using the estimated parameters is minimized. 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