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| Autore: |
Schmidt Christian
|
| Titolo: |
Evolutionary computation in stochastic environments
|
| Pubblicazione: | KIT Scientific Publishing, 2007 |
| Descrizione fisica: | 1 online resource (VII, 128 p. p.) |
| Soggetto non controllato: | Bayes |
| Evolutionary Algorithm | |
| Genetic Algorithms | |
| Ranking & Selection | |
| Simulation based optimization | |
| Uncertainty | |
| Sommario/riassunto: | This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified. |
| Titolo autorizzato: | Evolutionary computation in stochastic environments ![]() |
| ISBN: | 1000006634 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910346941803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |