Soft Computing and Artificial Intelligence in System Safety and Reliability Analysis

Soft Computing and Artificial Intelligence in System Safety and Reliability Analysis: Recent Advances and Perspectives provides information in three main fields of safety and reliability including "AI in reliability and safety science", "soft computing applications in safety analysis" and "Operation and Maintenance".

Every topic addressed in the book is complemented by illustrations, which aid with conceptual understanding.

Using this book, all audiences will learn about recent theoretical and methodological advances in ensemble AI-driven metaheuristic optimization algorithms and their applications in all aspects of safety and reliability, soft computing, as well as hybridization of metaheuristics with other soft computing and artificial intelligence tools, and would be able to perform operations like designing, identifying, choosing the best AI-driven algorithms for the safety and reliability analysis, and maintenance optimization.

The main advantage of this book is that all the required and recent knowledge of safety, and reliability is provided in one place without the need to read several books and papers.

• Comprehensive information on soft computing and artificial intelligence in different aspects of safety, reliability, and maintenance
• Introductory knowledge on safety, reliability, and maintenance, then applications of soft computing, and artificial intelligence in safety, and reliability, and finally maintenance optimization
• All the required information on safety, reliability, and maintenance in one place in a simple, comprehensive, and compact way