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EnglishInverse problems are omnipresent in natural and engineering sciences, for example, in material characterization. Impressive results have been obtained by applying analytical–numerical techniques to their solution; however, in many practical cases these methods present drawbacks, which impede their application. In this scenario, Genetic Algorithms (GAs) arise as interesting alternatives, especially for the solution of complicated inverse problems, such as those resulting from the modeling and characterization of complex nonlinear systems, such as in particular materials with nonlinear elastic behavior. In this chapter, we present a brief introduction to inverse problem solution, highlighting the difficulties inherent in the application of traditional analytical–numerical techniques, and illustrating how genetic algorithms may in part obviate these problems
Inverse problems and genetic algorithms / Delsanto, Silvia; Griffa, Michele; Morra, Lia. - STAMPA. - (2006), pp. 349-366.
| Titolo: | Inverse problems and genetic algorithms |
| Autori: | |
| Data di pubblicazione: | 2006 |
| Titolo del libro: | Universality of Non-classical non-linearity |
| Abstract: | Inverse problems are omnipresent in natural and engineering sciences, for example, in material c...haracterization. Impressive results have been obtained by applying analytical–numerical techniques to their solution; however, in many practical cases these methods present drawbacks, which impede their application. In this scenario, Genetic Algorithms (GAs) arise as interesting alternatives, especially for the solution of complicated inverse problems, such as those resulting from the modeling and characterization of complex nonlinear systems, such as in particular materials with nonlinear elastic behavior. In this chapter, we present a brief introduction to inverse problem solution, highlighting the difficulties inherent in the application of traditional analytical–numerical techniques, and illustrating how genetic algorithms may in part obviate these problems |
| ISBN: | 978-0-387-35851-2 978-0-387-33860-6 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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| SPRINGER_06_IP_ch22 (1).pdf | 1. Preprint / Submitted Version | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2712972
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