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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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International EditionCondition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Exploitation of Linkage Learning in Evolutionary Algorithms (Adaptation, Learning, and Optimization, 3)
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Exploitation of Linkage Learning in Evolutionary Algorithms (Adaptation, Learning, and Optimization, 3)
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Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing, 190)
Book 20 of 183: Studies in Fuzziness and Soft ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 256.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily żfooledż by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.
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Condition: New. pp. 258.
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Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing)
Book 20 of 183: Studies in Fuzziness and Soft ComputingUS$ 150.52
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Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing)
Book 20 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3642066712 ISBN 13: 9783642066719
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Add to basketPaperback. Condition: Brand New. 140 pages. 9.25x6.00x0.32 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 2010 edition. 256 pages. 9.20x6.10x0.61 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 265 pages. 9.50x6.50x0.75 inches. In Stock.
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Taschenbuch. Condition: Neu. Exploitation of Linkage Learning in Evolutionary Algorithms | Ying-Ping Chen | Taschenbuch | Adaptation, Learning, and Optimization | x | Englisch | 2012 | Springer | EAN 9783642263279 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Extending the Scalability of Linkage Learning Genetic Algorithms | Theory & Practice | Ying-Ping Chen | Taschenbuch | Studies in Fuzziness and Soft Computing | xx | Englisch | 2010 | Springer | EAN 9783642066719 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing, 190)
Book 20 of 183: Studies in Fuzziness and Soft ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Extending the Scalability of Linkage Learning Genetic Algorithms
Book 20 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540284591 ISBN 13: 9783540284598
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Add to basketCondition: New. Advances our understanding of the linkage learning genetic algorithm and demonstrates potential research directionsGenetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in.
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Extending the Scalability of Linkage Learning Genetic Algorithms : Theory & Practice
Book 20 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642066712 ISBN 13: 9783642066719
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage problem. The linkage learning genetic algorithm (LLGA) was proposed to tackle the linkage problem with several specially designed mechanisms. While the LLGA performs much better on badly scaled problems than simple GAs, it does not work well on uniformly scaled problems as other competent GAs. Therefore, we need to understand why it is so and need to know how to design a better LLGA or whether there are certain limits of such a linkage learning process. This book aims to gain better understanding of the LLGA in theory and to improve the LLGA's performance in practice. It 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 adopting subchromosomes.
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Exploitation of Linkage Learning in Evolutionary Algorithms
Language: English
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642263275 ISBN 13: 9783642263279
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.
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Exploitation of Linkage Learning in Evolutionary Algorithms
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2010
ISBN 10: 3642128335 ISBN 13: 9783642128332
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.
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Empresses of China's Forbidden City 1644 - 1912
Language: English
Published by Peabody Essex Museum, 2018
ISBN 10: 0300237081 ISBN 13: 9780300237085
Seller: Brancamp Books, Batesville, IN, U.S.A.
Association Member: IOBA
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Hardcover. Condition: New. BRAND NEW. Still Sealed in Publishers Shrinkwrap.
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Add to basketPaperback. Condition: Like New. Like New. book.
