Global optimization methods for multimodal inverse problems (Q1206569)
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scientific article; zbMATH DE number 149151
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Global optimization methods for multimodal inverse problems |
scientific article; zbMATH DE number 149151 |
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Global optimization methods for multimodal inverse problems (English)
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1 April 1993
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The authors compare the practical efficiency of simulated annealing versus genetic algorithm for the inversion of a one-dimensional seismogram. The implementation is carefully discussed. They observe a good behaviour of both algorithms for a number of parameters up to 22; with 30 parameters the genetic algorithm can still solve the problem, whereas simulated annealing is defeated.
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global optimization
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inverse problems
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practical efficiency
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simulated annealing
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genetic algorithm
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seismogram
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implementation
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0.89363027
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0.89155006
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