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Feasibility analysis of the use of binary genetic algorithms as importance samplers application to a 1-D DC resistivity inverse problem - MaRDI portal

Feasibility analysis of the use of binary genetic algorithms as importance samplers application to a 1-D DC resistivity inverse problem (Q934750)

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scientific article; zbMATH DE number 5306166
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English
Feasibility analysis of the use of binary genetic algorithms as importance samplers application to a 1-D DC resistivity inverse problem
scientific article; zbMATH DE number 5306166

    Statements

    Feasibility analysis of the use of binary genetic algorithms as importance samplers application to a 1-D DC resistivity inverse problem (English)
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    30 July 2008
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    Inverse problems
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    Genetic algorithms
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    Monte Carlo methods
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    Vertical electrical soundings
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