Extending the Scalability of Linkage Learning Genetic Algorithms - Theory and Practice - Hardback - 2005
Ying-Ping Chen
Resumo
Aims to gain better understanding of the LLGA in theory and to improve the LLGA's performance in practice. This book starts with a survey of the existing genetic linkage learning techniques and describes the steps and approaches taken to tackle the research topics, including using promoters, developing the convergence time model, and more.
Year of publication: 2005
Pagination: 120 pages, 4 black & white tables, biography
Format: Hardback
Serie: Studies in Fuzziness and Soft Computing
Year of publication: 2005
Pagination: 120 pages, 4 black & white tables, biography
Format: Hardback
Serie: Studies in Fuzziness and Soft Computing
Extending the Scalability of Linkage Learning Genetic...
Resumo
Aims to gain better understanding of the LLGA in theory and to improve the LLGA's performance in practice. This book starts with a survey of the existing genetic linkage learning techniques and describes the steps and approaches taken to tackle the research topics, including using promoters, developing the convergence time model, and more.
Year of publication: 2005
Pagination: 120 pages, 4 black & white tables, biography
Format: Hardback
Serie: Studies in Fuzziness and Soft Computing
Year of publication: 2005
Pagination: 120 pages, 4 black & white tables, biography
Format: Hardback
Serie: Studies in Fuzziness and Soft Computing
Publicidade
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Características
- Editora
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Dimensão
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234 x 156 x 9
- Peso
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850
- Tema
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Machine learning
- Origem
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Germany
- EAN
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9783540284598
Publicidade
Publicidade