£107.73

Springer Swarm Intelligence for Multi-objective Problems Book

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Description

Explore the intersection of multi-objective optimization, swarm intelligence, and data mining with this specialized volume from Springer. Part of the Studies in Computational Intelligence series, this book focuses on the application of particle swarm optimization and ant colony optimization within data mining contexts. This collection provides a deep look at how multi-objective swarm intelligence techniques can improve data mining processes. It serves as a resource for researchers in evolutionary computation and machine learning who want to expand their expertise into these integrated fields. By examining eleven detailed chapters, including an introduction to basic swarm intelligence concepts, readers gain a comprehensive understanding of how these algorithms function and their potential for solving complex problems. Whether you are studying computational intelligence or working on advanced machine learning models, this text offers the technical insights needed to bridge the gap between swarm-based algorithms and data mining applications. It is designed to motivate new research directions and provide a solid foundation for academic and professional development in the field of computer science.

Key Features

Covers the intersection of multi-objective optimization, swarm intelligence, and data mining techniques.

Includes specific focus on particle swarm optimization and ant colony optimization methods.

Contains eleven chapters of research, including an introduction to basic swarm intelligence concepts.

Designed to motivate research in evolutionary computation and machine learning fields.

Part of the Studies in Computational Intelligence series (Volume 242) by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 September 2009
Listed Since
09 July 2009

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