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Название: Computational Intelligence in Sustainable Reliability Engineering
Автор: S.C. Malik, Deepak Sinwar, Ashish Kumar
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 22.3 MB
The book is a comprehensive guide on how to apply Computational Intelligence (CI) techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Swarm Intelligence (SI) is an important sub-area of optimization that helps develop sustainable materials at nano-, micro-, meso- and macro-levels by identifying the optimum values for different parameters.
Автор: S.C. Malik, Deepak Sinwar, Ashish Kumar
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 22.3 MB
The book is a comprehensive guide on how to apply Computational Intelligence (CI) techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Swarm Intelligence (SI) is an important sub-area of optimization that helps develop sustainable materials at nano-, micro-, meso- and macro-levels by identifying the optimum values for different parameters.