£83.07

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Springer Advances in Evolutionary Computing for System Design - Studies in Computational Intelligence Vol. 66

Amazon

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£83.20 £41.86 £50.88 £59.90 £68.92 £77.94 £86.96 25 July 2026 12 August 2026 30 August 2026 17 September 2026 06 October 2026
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Description

This scholarly volume from Springer explores evolutionary computing paradigms as robust adaptive search mechanisms for system design. The book comprises thirteen comprehensive chapters covering a wide spectrum of topics including evolutionary neuro-fuzzy systems, fuzzy controller evolution, genetic algorithms for multi-classifier design, evolutionary particle swarms, and evolutionary algorithms combined with immune learning for neural network-based controller design. Ideal for researchers, engineers, and academics seeking in-depth knowledge of how evolutionary computing techniques can be applied to complex system design challenges, this text bridges theoretical foundations with practical applications across multiple domains. The used copy in good condition offers excellent value for those studying computational intelligence and evolutionary methods.

Key Features

Springer publication covering thirteen chapters on evolutionary computing paradigms and their applications to system design.

Includes chapters on evolutionary neuro-fuzzy systems and fuzzy controller evolution using genetic algorithms.

Addresses genetic algorithms for multi-classifier design and evolutionary particle swarm optimisation techniques.

Explores evolutionary algorithms combined with immune learning for neural network-based controller design.

Used book in good condition, providing an affordable option for studying computational intelligence research.

Part of the Studies in Computational Intelligence series (Volume 66), establishing credibility within the academic field.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 July 2007
Listed Since
11 May 2007

Barcode

No barcode data available

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