Skip to main content
Elsevier
View Cart

Nature-Inspired Computing Paradigms in Systems

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

  • 1st Edition - June 18, 2021
  • Latest edition
  • Editors: Mohamed Arezki Mellal, Michael G. Pecht
  • Language: English

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several a… Read more

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Explore resources

Description

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.

Key features

  • Provides the latest review
  • Covers various nature-inspired techniques applied to RAMS+C and PHM problems
  • Includes techniques applied to new applications

Readership

Researchers and PhD students in Computer Science and Engineering working in RAMS+C, PHM and optimization. Industrial professionals and practitioners with interests in RAMS+C, PHM and optimization

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

Product details

  • Edition: 1
  • Latest edition
  • Published: June 18, 2021
  • Language: English

About the editors

MM

Mohamed Arezki Mellal

Prof. Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Boumerdes, Algeria. He was temporarily associated with Teaching and Research (ATER) at the Department of Industrial Engineering and Maintenance, University Institute of Technology Louis Pasteur, University of Strasbourg, France. He is affiliated to the LMSS Laboratory (Solid Mechanics and Systems Laboratory, M’Hamed Bougara University, Algeria) and was affiliated to the Control, Vision and Robotics team of the ICube Laboratory (The Engineering Science, Computer Science and Imaging Laboratory, University of Strasbourg, France). Prof Mellal has contributed to papers on reliability and cost optimization of fuel cell systems, heat and power dispatch using flower pollination algorithms, and heterogeneous components in pharmaceutical production plants, among many others.
Affiliations and expertise
Université de Boumerdes, Boumerdes, Algeria

MP

Michael G. Pecht

He is the founder and director of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world’s leading electronics companies at more than US$6M/year. He is a Professional Engineer, an IEEE Fellow, an ASME Fellow, an SAE Fellow, and an IMAPS Fellow. He is currently serving as editor-in-chief of Circuit World. He served as editor-in-chief of IEEE Access for 6 years, as editor-in-chief of IEEE Transactions on Reliability for 9 years, and as editor-in-chief of Microelectronics Reliability for 16 years. He has also served on three U.S. National Academy of Science studies, two U.S. Congressional investigations in automotive safety, and as an expert to the U.S. FDA. He is also a Chair Professor. He consults for 22 major international electronics companies, providing expertise in strategic planning, design, test, prognostics, IP and risk assessment of electronic products and systems.
Affiliations and expertise
CALCE (Center for Advanced Life Cycle Engineering), University of Maryland, USA

View book on ScienceDirect

Read Nature-Inspired Computing Paradigms in Systems on ScienceDirect