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Nature-Inspired Computing Paradigms in Systems

Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM)

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2021
ISBN13: 9780128237496
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Juridisch :
Elsevier Science e druk, 2021 9780128237496
Onderdeel van serie Intelligent Data-Centric Systems
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780128237496
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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

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        Nature-Inspired Computing Paradigms in Systems