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Exploitation of Linkage Learning in Evolutionary Algorithms (Adaptation, Learning, and Optimization)

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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.

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Computer and Information Security Handbook
Computer and Information Security Handbook

The second edition of this comprehensive handbook of computer and information security provides the most complete view of computer security and privacy available. It offers in-depth coverage of security theory, technology, and practice as they relate to established technologies as well as recent advances. It explores practical...

TCP/IP Protocol Suite (Mcgraw-hill Forouzan Networking)
TCP/IP Protocol Suite (Mcgraw-hill Forouzan Networking)

In a world where the number of people who need to learn about data communications and networking is exploding, Forouzan's book is the answer. The book's visual approach makes it easy for students to learn about and understand the concepts involved in this rapidly developing field.

TCP/IP Protocol Suite teaches students and...

Data Mining for Bioinformatics
Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining...


Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)
Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in...

An Introduction to Database Systems (8th Edition)
An Introduction to Database Systems (8th Edition)

Continuing in the eighth edition, An Introduction to Database Systems provides a comprehensive introduction to the now very large field of database systems by providing a solid grounding in the foundations of database technology while shedding some light on how the field is likely to develop in the future. This new edition has been rewritten...

Sequence Data Mining (Advances in Database Systems)
Sequence Data Mining (Advances in Database Systems)
Sequences are an important type of data which occur frequently in many scientific, medical, security, business and other applications. For example, DNA sequences encode the genetic makeup of humans and all species, and protein sequences describe the amino acid composition of proteins and encode the structure and function of...
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