Nature-Inspired Computing Paradigms in Systems
eBook - ePub

Nature-Inspired Computing Paradigms in Systems

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

  1. 144 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Nature-Inspired Computing Paradigms in Systems

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

Book details
Table of contents
Citations

About This Book

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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Yes, you can access Nature-Inspired Computing Paradigms in Systems by Mohamed Arezki Mellal,Michael G. Pecht in PDF and/or ePUB format, as well as other popular books in Business & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2021
ISBN
9780128237502
Topic
Business
Subtopic
Business Intelligence
Index
Business

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Editor biographies
  7. Preface
  8. Acknowledgment
  9. Chapter 1: Reliability optimization of power plant safety system using grey wolf optimizer and shuffled frog-leaping algorithm
  10. Chapter 2: Design optimization of a car side safety system by particle swarm optimization and grey wolf optimizer
  11. Chapter 3: Genetic algorithms: Principles and application in RAMS
  12. Chapter 4: Evolutionary optimization for resilience-based planning for power distribution networks
  13. Chapter 5: Application of nature-inspired computing paradigms in optimal design of structural engineering problems—a review
  14. Chapter 6: A data-driven model for fire safety strategies assessment using artificial neural networks and genetic algorithms
  15. Chapter 7: Application of artificial neural networks in polymer electrolyte membrane fuel cell system prognostics
  16. Chapter 8: Reliability redundancy allocation problems under fuzziness using genetic algorithm and dual-connection numbers
  17. Index