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Record Nr. |
UNISA996210517803316 |
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Titolo |
Simulated Evolution and Learning [[electronic resource] ] : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XVI, 862 p. 267 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 8886 |
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Disciplina |
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Soggetti |
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Computer science |
Artificial intelligence |
Data mining |
Computer simulation |
Computer science—Mathematics |
Discrete mathematics |
Application software |
Theory of Computation |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Computer Modelling |
Discrete Mathematics in Computer Science |
Computer and Information Systems Applications |
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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 bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Evolutionary optimization -- Evolutionary multi-objective optimization -- Evolutionary machine learning -- Theoretical developments -- Evolutionary feature reduction -- Evolutionary scheduling and combinatorial optimization -- Real world applications and evolutionary image analysis. |
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Sommario/riassunto |
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This volume constitutes the proceedings of the 10th International |
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Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis. |
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