Nature-Inspired Computing Paradigms in Systems

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

Editors: Mohamed Arezki Mellal and Michael G. Pecht

This book covers several areas that include bioinspired techniques and optimization approaches for system dependability. It 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 book is divided into eight chapters. Chapter 1 deals with the reliability optimization of a safety system in the power plant using gray wolf optimizer and the shuffled flog-leaping algorithm. Chapter 2 addresses the design optimization of the car side safety system using particle swarm optimization and gray wolf optimizer. Chapter 3 presents the basic principles of genetic algorithm and its application in RAMS. Chapter 4 uses evolutionary optimization for resilience-based planning in power distribution networks. Chapter 5 presents a review of the application of nature-inspired computing in optimal design. Chapter 6 uses artificial neural networks and genetic algorithms for fire safety strategies assessment. Chapter 7 applies artificial neural networks to proton exchange. Finally, Chapter 8 addresses reliability redundancy allocation problems with uncertainties using genetic algorithms and dualconnection numbers.

Table of Contents:

1. Reliability Optimization of Power Plant Safety System Using Grey Wolf Optimizer and Shuffled Frog-leaping Algorithm
   Mohamed Arezki Mellal; Abir Frik; Roumaissa Boutiche
2. Design Optimization of Car Side Safety System by Particle Swarm Optimization and Grey Wolf Optimizer
   Ikram Hamadache; Mohamed Arezki Mellal
3. Genetic Algorithms Principles and Applications in RAMS
   Mohammad Ali Farsi
4. Evolutionary Optimization for Resilience-Based Planning for Power Distribution Networks
   Nariman L. Dehghani; Chi Zhang; Abdollah Shafieezadeh
5. Application of Nature-inspired Computing Paradigms in Optimal Design - A Review
   Amit Kumar
6. A Data-driven Model for Fire Safety Strategies Assessment Using Artificial Neural Networks and Genetic Algorithms
   Rachid Ouache; Amin Mohammadpour Shotorbani; Kasun Hewage; Rehan Sadiq
7. Application of Artificial Neural Networks in Polymer Electrolyte Membrane Fuel Cell System Prognostics
   Lei Mao; Kai He; Lisa Jackson; Qiang Wu
8. Reliability Redundancy Allocation Problems under Fuzziness using Genetic Algorithm and Dual-Connection Numbers
   Laxminarayan Sahoo

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.

For more information about the book, follow this link . The book can be purchased here .