Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) – Ebook PDF Instant Delivery – ISBN(s): 9780128237496,012823749X
Product details:
- ISBN-10 : 012823749X
- ISBN-13 : 978-0128237496
- Author: Mohamed Arezki Mellal, Michael G. Pecht
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.
Table contents:
Chapter 1 – Reliability optimization of power plant safety system using grey wolf optimizer and shuffled frog-leaping algorithm
Chapter 2 – Design optimization of a car side safety system by particle swarm optimization and grey wolf optimizer
Chapter 3 – Genetic algorithms: Principles and application in RAMS
Chapter 4 – Evolutionary optimization for resilience-based planning for power distribution networks
Chapter 5 – Application of nature-inspired computing paradigms in optimal design of structural engineering problems—a review
Chapter 6 – A data-driven model for fire safety strategies assessment using artificial neural networks and genetic algorithms
Chapter 7 – Application of artificial neural networks in polymer electrolyte membrane fuel cell system prognostics
Chapter 8 – Reliability redundancy allocation problems under fuzziness using genetic algorithm and dual-connection numbers
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