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Springer Evolutionary Computing: Exploration, Exploitation & Parameter Control

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Description

Into a Deeper Understanding of Evolutionary Computing explores the foundational concepts and advanced techniques that drive modern computational evolution. This comprehensive volume examines how exploration and exploitation strategies shape algorithm performance, and reveals the critical role of parameter control in optimising evolutionary systems. Part of the Emergence, Complexity and Computation series (Volume 1), this Springer publication brings together rigorous theoretical frameworks and practical insights for researchers, practitioners and students seeking to master evolutionary computation. Whether you're developing genetic algorithms, refining search strategies or tackling complex optimisation problems, this book provides the deeper conceptual understanding needed to design more effective evolutionary systems and understand the mechanisms that make them work.

Key Features

Focuses on exploration and exploitation strategies fundamental to evolutionary computing algorithms and their trade-offs.

Covers parameter control techniques essential for optimising evolutionary system performance across different problem domains.

Part of the Emergence, Complexity and Computation series from Springer, Volume 1 in this specialised academic collection.

Provides theoretical foundations and practical applications for researchers developing and implementing evolutionary algorithms.

Addresses the deeper conceptual understanding required for designing robust and efficient computational evolution systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 November 2025
Listed Since
21 November 2025

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