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Nature-Inspired Computing Paradigms in Systems

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

About Nature-Inspired Computing Paradigms in Systems

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 reviewCovers various nature-inspired techniques applied to RAMS+C and PHM problemsIncludes techniques applied to new applications

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  • Language:
  • English
  • ISBN:
  • 9780128237496
  • Binding:
  • Paperback
  • Pages:
  • 144
  • Published:
  • June 17, 2021
  • Dimensions:
  • 232x191x14 mm.
  • Weight:
  • 322 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 1, 2024

Description of Nature-Inspired Computing Paradigms in Systems

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 reviewCovers various nature-inspired techniques applied to RAMS+C and PHM problemsIncludes techniques applied to new applications

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