Exploitation of Linkage Learning in Evolutionary Algorithms is popular PDF and ePub book, written by Ying-ping Chen in 2010-04-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Exploitation of Linkage Learning in Evolutionary Algorithms can be Read Online from any device for your convenience.
Exploitation of Linkage Learning in Evolutionary Algorithms Book PDF Summary
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.
Detail Book of Exploitation of Linkage Learning in Evolutionary Algorithms PDF
- Author : Ying-ping Chen
- Release : 16 April 2010
- Publisher : Springer Science & Business Media
- ISBN : 9783642128349
- Genre : Technology & Engineering
- Total Page : 245 pages
- Language : English
- PDF File Size : 13,8 Mb
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