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1. |
Record Nr. |
UNINA9910632198603321 |
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Autore |
Agresti, Antonio |
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Titolo |
La filosofia nella letteratura moderna / A. Agresti |
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Pubbl/distr/stampa |
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Torino, : F.lli Bocca, 1904 |
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Descrizione fisica |
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Collana |
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Piccola biblioteca di scienze moderne ; 89 |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910844499803321 |
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Autore |
Pasquinelli, Matteo |
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Titolo |
The eye of the master : a social history of artificial intelligence / Matteo Pasquinelli |
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Locazione |
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Collocazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910437889203321 |
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Titolo |
Evolutionary Computation for Dynamic Optimization Problems / / edited by Shengxiang Yang, Xin Yao |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXVIII, 470 p. 99 illus.) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 490 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Part I Fundamentals -- Part II Algorithm Design -- Part III Theoretical Analysis. |
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Sommario/riassunto |
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This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation. |
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