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A gradient-improved particle swarm optimizer using surrogate modeling

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Abstract

An optimization scheme combining a PCE metamodel and a PSO optimizer has been implemented and tested on both a well-posed and an ill-posed ECT configurations. The algorithm has been improved by integrating the information of the gradient of the PCE, improving the quality of the parameter retrieval.
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Dates and versions

hal-03847594 , version 1 (10-11-2022)

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  • HAL Id : hal-03847594 , version 1

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Marc Lambert, Charles Boulitrop. A gradient-improved particle swarm optimizer using surrogate modeling. 25th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE'22), Jun 2022, Budapest, Hungary. ⟨hal-03847594⟩
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