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The approach proposed is based on the use of an interactive genetic algorithm (IGA) (H. Takagi, 1998). A genetic algorithm is used to perform a global search in the solution space. We compare IGA to traditional numerical inversion on a geological application. We show that 'a priori' information and expert knowledge can overcome lack of accurate data and help convergence towards a satisfactory solution.
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Boschetti et al. (2003) studied this question.
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