Linkage in Evolutionary Computation
. Ed(S): Chen, Ying-Ping; Lim, Meng-Hiot
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Description for Linkage in Evolutionary Computation
Hardback. This volume presents recent results in Linkage in Evolutionary Computation. For practitioners who are looking at putting into practice the concept of linkage, the few chapters on applications will serve as a useful guide. Editor(s): Chen, Ying-Ping; Lim, Meng-Hiot. Series: Studies in Computational Intelligence. Num Pages: 488 pages, 227 black & white illustrations, 76 black & white tables, biography. BIC Classification: UGC; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 907.
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 ”fooled” 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 ... Read more
Show LessProduct Details
Format
Hardback
Publication date
2008
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
488
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
488
Place of Publication
Berlin, Germany
ISBN
9783540850670
SKU
V9783540850670
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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