EXPLOITATION OF LINKAGE LEARNING IN EVOLUTIONARY ALGORITHMS

Chen, Ying-ping [Editor]

ISBN 10: 3642128335 / ISBN 13: 9783642128332

Published by Springer-Verlag, Berlin, 2010

Octavo, viii, 246 pages. In Very Good minus condition. Bound in red and purple paper with white and yellow lettering. Boards have minor shelf wear. Text block has minor cracking to gutter of title page. NOTE: Shelved in ND-E. 1377100. FP New Rockville Stock. Seller Inventory # 1377100

Synopsis:

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.

From the Back Cover:

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.

Bibliographic Details

Title: EXPLOITATION OF LINKAGE LEARNING IN ...
Publisher: Springer-Verlag, Berlin
Publication Date: 2010
Binding: Hardcover
Edition: First Edition.