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A. Pospíšilová¹, M. Lepš¹ and J. Zeman^1,2

¹Department of Mechanics, Faculty of Civil Engineering
Czech Technical University in Prague, Czech Republic
²Centre of Excellence IT4Innovations, VŠB-TU Ostrava, Czech Republic

doi:10.4203/ccp.103.3

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, "Multi-Objective Reconstruction of Random Media", in Y. Tsompanakis, (Editor), "Proceedings of the Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 3, 2013. doi:10.4203/ccp.103.3

Keywords: multi-objective optimization, genetic algorithm, non-dominated sorting.

Summary

To simplify a numerical analysis of complicated real microstructures, a material representative volume element is defined. It is based on a binary (black and white) image, which statistically resembles a corresponding real microstructure. Several statistical descriptors suitable for the microstructure characterization of a random media can be considered. Then, for example a unit cell can be derived from the optimization procedure formulated in terms of selected statistical descriptors. The aim of the work described in this paper is to resolve this issue using multi-objective optimization techniques. The goal is to approximate as closely as possible the true Pareto front as a trade-off of competing objectives. The performance of the multi-objective algorithm is verified by the reconstruction of given artificial images and is compared with results of the single-objective counterparts.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 103 PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: Y. Tsompanakis Paper 3 Multi-Objective Reconstruction of Random Media A. Pospíšilová¹, M. Lepš¹ and J. Zeman^1,2 ¹Department of Mechanics, Faculty of Civil Engineering Czech Technical University in Prague, Czech Republic ²Centre of Excellence IT4Innovations, VŠB-TU Ostrava, Czech Republic doi:10.4203/ccp.103.3 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Multi-Objective Reconstruction of Random Media", in Y. Tsompanakis, (Editor), "Proceedings of the Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 3, 2013. doi:10.4203/ccp.103.3 Keywords: multi-objective optimization, genetic algorithm, non-dominated sorting. Summary To simplify a numerical analysis of complicated real microstructures, a material representative volume element is defined. It is based on a binary (black and white) image, which statistically resembles a corresponding real microstructure. Several statistical descriptors suitable for the microstructure characterization of a random media can be considered. Then, for example a unit cell can be derived from the optimization procedure formulated in terms of selected statistical descriptors. The aim of the work described in this paper is to resolve this issue using multi-objective optimization techniques. The goal is to approximate as closely as possible the true Pareto front as a trade-off of competing objectives. The performance of the multi-objective algorithm is verified by the reconstruction of given artificial images and is compared with results of the single-objective counterparts. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £42 +P&P)
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