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Adaptation, Learning, and Optimization #3: Exploitation of Linkage Learning in Evolutionary Algorithms

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Adaptation, Learning, and Optimization #3: Exploitation of Linkage Learning in Evolutionary Algorithms Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

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.

Table of Contents

Part I Linkage & Problem Structures.- Part II Model Building & Exploiting.- Part III Applications.

Product Details

ISBN:
9783642128332
Author:
Chen, Ying-ping
Publisher:
Springer
Editor:
Chen, Ying-Ping
Author:
Chen, Ying-Ping
Subject:
Applied
Subject:
Intelligence (AI) & Semantics
Subject:
Mathematics-Applied
Subject:
Evolutionary computation.
Subject:
Linkage Learning
Subject:
OPTIMIZATION
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
APPLICATIONS OF MATHEMATICS
Edition Description:
2010
Series:
Adaptation, Learning, and Optimization
Series Volume:
3
Publication Date:
20100531
Binding:
HARDCOVER
Language:
English
Pages:
256
Dimensions:
235 x 155 mm 596 gr

Related Subjects

» Computers and Internet » Artificial Intelligence » Artificial Life
» Computers and Internet » Artificial Intelligence » General
» Computers and Internet » Computers Reference » General
» Science and Mathematics » Mathematics » Applied

Adaptation, Learning, and Optimization #3: Exploitation of Linkage Learning in Evolutionary Algorithms New Hardcover
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Product details 256 pages Not Avail - English 9783642128332 Reviews:
"Synopsis" by , 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.
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