£138.57

Springer Biologically-Inspired Optimisation Methods - Vol 210

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Description

Explore the latest theories and techniques in computational intelligence with Biologically-Inspired Optimisation Methods. This volume, part of the Studies in Computational Intelligence series, examines how nature provides solutions to complex problems through simple rules and adaptive systems. By looking at how natural environments allow for quick and efficient adaptation, this book offers deep insights into solving modern challenges. Many of the chapters included in this work stem from research presented at international conferences and workshops focusing on e-Science, Grid Computing, and Evolutionary computation. It serves as a comprehensive resource for those studying how parallel algorithms and systems can be applied to various human endeavors, including science and engineering. This text provides a foundation for understanding how biologically-inspired methods can be implemented to handle complex environments and evolving technical requirements.

Key Features

Covers latest theories and techniques in biologically-inspired optimisation methods for advanced research.

Includes research derived from international workshops on e-Science and Grid Computing.

Explores evolutionary computation and its application to complex problem-solving.

Provides insights into parallel algorithms and systems for computational intelligence.

Connects natural adaptation principles to science and engineering endeavors.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 October 2010
Listed Since
28 December 2010

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No barcode data available

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