Study on Multi-Objective Reconstruction of Random Media

Adéla Hlobilová; Matěj Lepš

doi:10.4028/www.scientific.net/AMM.825.153

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Study on Multi-Objective Reconstruction of Random Media
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 825Study on Multi-Objective Reconstruction of Random...

Study on Multi-Objective Reconstruction of Random Media

Abstract:

This paper deals with a reconstruction of random media via multi-objective optimization. Two statistical descriptors, namely a two-point probability function and a two-point lineal path function, are repetitively evaluated for the original medium and the reconstructed image to appreciate the improvement in the optimization progress. Because of doubts of the weights setting in the weighted-sum method, purely multi-objective optimization routine Non-dominated Sorting Genetic Algorithm~II is utilized. Three operators are compared for creating new offspring populations that satisfy a prescribed volume fraction constraint. The main contribution is in the testing of the proposed methodology on several benchmark images.

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Periodical:

Applied Mechanics and Materials (Volume 825)

Pages:

153-160

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.825.153

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Online since:

February 2016

Authors:

Adéla Hlobilová*, Matěj Lepš

Keywords:

Cross-Over Operator, Image Reconstruction, Lineal Path Function, Multi-Objective Optimization, Mutation Operator, Non-Dominated Sorting Genetic Algorithm II, Two-Point Probability Function

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