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Ying-Ping . Ed(S): Chen - Exploitation of Linkage Learning in Evolutionary Algorithms - 9783642263279 - V9783642263279
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Exploitation of Linkage Learning in Evolutionary Algorithms

€ 127.37
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Description for Exploitation of Linkage Learning in Evolutionary Algorithms Paperback. The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field. Editor(s): Chen, Ying-Ping. Series: Adaptation, Learning, and Optimization. Num Pages: 246 pages, 30 colour illustrations, biography. BIC Classification: PBW; TBJ; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 397.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
246
Condition
New
Series
Adaptation, Learning, and Optimization
Number of Pages
246
Place of Publication
Berlin, Germany
ISBN
9783642263279
SKU
V9783642263279
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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