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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Veröffentlicht in:	Inverse problems in science and engineering Jg. 19; H. 1; S. 87 - 102
Hauptverfasser:	Patelli, Edoardo, Schuëller, Gerhart I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis 01.01.2011
Schlagworte:	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-Zugang:	Volltext
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