Nature-Inspired Computing Paradigms in Systems (eBook, ePUB)

Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM)
Redaktion: Mellal, Mohamed Arezki; Pecht, Michael G.

• Format: ePub

Produktbeschreibung

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability.

The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence.

The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability.

• Provides the latest review
• Covers various nature-inspired techniques applied to RAMS+C and PHM problems
• Includes techniques applied to new applications

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 144
• Erscheinungstermin: 18. Juni 2021
• Englisch
• ISBN-13: 9780128237502
• Artikelnr.: 62144992

Inhaltsangabe

Optimization 1. RAMS+C (reliability, availability, maintainability, safety
and cost) 2. Optimal design 3. Diagnostic 4. Resilience and vulnerability
5. Prognostics and Health Management (PHM) 6. Risk assessment and
mitigation 7. Faults 8. Obsolescence 9. Lifetime and lifecycle prediction
Methods of interest include, but are not limited to 10. Genetic algorithms
11. Particle swarm optimization 12. Differential evolution 13. Cuckoo
algorithms 14. Artificial bee colony 15. Ant colony optimization 16.
Artificial neural networks 17. Brain 18. Inspired computing 19. Hybrid
techniques