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Springer Evolutionary Computing: Exploration & Exploitation - Volume 1

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£101.08 £92.29 £94.21 £96.13 £98.04 £99.96 £101.88 25 July 2026 15 August 2026 05 September 2026 26 September 2026 17 October 2026
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Description

This comprehensive academic text from Springer delves into the fundamental principles and advanced techniques of evolutionary computing, offering readers an in-depth exploration of how search algorithms balance exploration and exploitation strategies. Designed for researchers, students, and practitioners in artificial intelligence and machine learning, this Volume 1 instalment examines critical parameter control mechanisms that drive evolutionary algorithms forward. The book synthesises current research findings with practical insights, making it an essential resource for anyone seeking to understand the theoretical foundations and real-world applications of evolutionary computation. Whether you're developing adaptive systems, optimising complex problems, or advancing your knowledge in computational intelligence, this text provides the rigorous analysis and detailed explanations needed to master evolutionary computing concepts and their implementation.

Key Features

Springer-published academic text focusing on evolutionary computing methodologies and algorithm design principles.

Comprehensive coverage of exploration and exploitation strategies within Volume 1 of the Emergence, Complexity and Computation series.

In-depth examination of parameter control techniques essential for optimising evolutionary algorithm performance.

Essential resource for AI and machine learning professionals studying advanced computational intelligence approaches.

Rigorous academic analysis suited for research, education, and practical application development in evolutionary systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 November 2024
Listed Since
28 August 2024

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