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Salt-/fresh-water interface model and GAs for parameter estimation
El Harrouni, K.; Ouazar, D.; Cheng, A.H.-D. (1999). Salt-/fresh-water interface model and GAs for parameter estimation. Natuurwet. Tijdschr. 79(1-4): 43-47
In: Natuurwetenschappelijk Tijdschrift. L. Walschot/Natuur- en Geneeskundige Vennootschap: Gent. ISSN 0770-1748, meer
Ook verschenen in:
De Breuck, W.; Walschot, L. (Ed.) (1999). Proceedings of the 15th Salt-Water Intrusion Meeting Ghent (Belgium), 25-29 May 1998. Natuurwetenschappelijk Tijdschrift, 79(1-4). Natuurwetenschappelijk Tijdschrift: Gent. 307 pp., meer
Peer reviewed article  
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Trefwoorden
    Algorithms
    Models
    Water > Fresh water
    Water > Saline water
    Marien/Kust; Zoet water
Auteurs  Top 
  • El Harrouni, K.
  • Ouazar, D.
  • Cheng, A.H.-D.
Abstract
    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. The initial findings about the effectiveness of the algorithms are encouraging.
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