Soft-computing approach to solve ill-posed inverse problems: application to random materials and imperfect cylindrical shells

In this work a soft-computing approach, based on a hybrid stochastic optimization (HSO) tool, is suggested to solve numerically inverse problems. These problems are formulated and solved using optimization methods. The HSO tool combines genetic algorithms, simulated annealing and taboo list. One of...

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Bibliographic Details
Published in:	Inverse problems in science and engineering Vol. 19; no. 1; pp. 87 - 102
Main Authors:	Patelli, Edoardo, Schuëller, Gerhart I.
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 01.01.2011
Subjects:	65C35 Stochastic particle methods 68N01 General 68W10 Parallel algorithms 74N15 Analysis of microstructure Correlation correlation function inverse problem Inverse problems Mathematical analysis Mathematical models Microstructure Optimization random materials Random materials and composite materials Reconstruction stochastic optimization taboo list
ISSN:	1741-5977, 1741-5985
Online Access:	Get full text
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