Computational Intelligence In Sustainable Reliability Engineering

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Computational Intelligence in Sustainable Reliability Engineering

Author : S. C. Malik
Publisher : John Wiley & Sons
ISBN 13 : 1119865018
Total Pages : 356 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence in Sustainable Reliability Engineering by : S. C. Malik

Download or read book Computational Intelligence in Sustainable Reliability Engineering written by S. C. Malik and published by John Wiley & Sons. This book was released on 2023-03-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence 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. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.

Reliability Engineering and Computational Intelligence

Author : Coen van Gulijk
Publisher : Springer Nature
ISBN 13 : 3030745562
Total Pages : 307 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Reliability Engineering and Computational Intelligence by : Coen van Gulijk

Download or read book Reliability Engineering and Computational Intelligence written by Coen van Gulijk and published by Springer Nature. This book was released on 2021-08-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

Computational Intelligence in Reliability Engineering

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (2 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by :

Download or read book Computational Intelligence in Reliability Engineering written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer Science & Business Media
ISBN 13 : 3540373713
Total Pages : 428 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Computational Intelligence in Sustainable Reliability Engineering

Author : S. C. Malik
Publisher : John Wiley & Sons
ISBN 13 : 1119865409
Total Pages : 356 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence in Sustainable Reliability Engineering by : S. C. Malik

Download or read book Computational Intelligence in Sustainable Reliability Engineering written by S. C. Malik and published by John Wiley & Sons. This book was released on 2023-02-16 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence 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. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.

Computational Intelligence and Sustainable Systems

Author : H. Anandakumar
Publisher : Springer
ISBN 13 : 3030026744
Total Pages : 304 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computational Intelligence and Sustainable Systems by : H. Anandakumar

Download or read book Computational Intelligence and Sustainable Systems written by H. Anandakumar and published by Springer. This book was released on 2018-12-14 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications.

Reliability Engineering and Computational Intelligence for Complex Systems

Author : Coen van Gulijk
Publisher : Springer Nature
ISBN 13 : 3031409973
Total Pages : 224 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Reliability Engineering and Computational Intelligence for Complex Systems by : Coen van Gulijk

Download or read book Reliability Engineering and Computational Intelligence for Complex Systems written by Coen van Gulijk and published by Springer Nature. This book was released on 2023-09-23 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions. In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliability engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains.

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

Author : Deepak Sinwar
Publisher : CRC Press
ISBN 13 : 1000932966
Total Pages : 223 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by : Deepak Sinwar

Download or read book Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials written by Deepak Sinwar and published by CRC Press. This book was released on 2023-09-25 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer Science & Business Media
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer Science & Business Media. This book was released on 2007 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book covers the recent applications of computational intel- gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. “Computational Intelligence” covers many fields such as neural networks, fuzzy logic, evolutionary computing, and their hybrids and derivatives. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products dev- oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical te- niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem-solving methods have failed. The book aims to be a repository for the current and cutting-edge applications of computational intelligent techniques in reliability analysis and optimization.

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer
ISBN 13 : 9783540827795
Total Pages : 413 pages
Book Rating : 4.8/5 (277 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer. This book was released on 2009-09-02 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.

Advances in Computational Mathematics for Industrial System Reliability and Maintainability

Author : Mohammad Yazdi
Publisher : Springer Nature
ISBN 13 : 3031535146
Total Pages : 201 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Advances in Computational Mathematics for Industrial System Reliability and Maintainability by : Mohammad Yazdi

Download or read book Advances in Computational Mathematics for Industrial System Reliability and Maintainability written by Mohammad Yazdi and published by Springer Nature. This book was released on with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Decision Support Systems for Smart City Applications

Author : Loveleen Gaur
Publisher : John Wiley & Sons
ISBN 13 : 1119896436
Total Pages : 276 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Intelligent Decision Support Systems for Smart City Applications by : Loveleen Gaur

Download or read book Intelligent Decision Support Systems for Smart City Applications written by Loveleen Gaur and published by John Wiley & Sons. This book was released on 2023-02-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT DECISION SUPPORT SYSTEMS FOR SMART CITY APPLICATIONS This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and information to increase the efficiency and sustainability of services for inhabitants. Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the analysis of existing information there are eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. This book will focus on the application of the decision support system in managing these eight crucial aspects of smart cities. The intent in writing this book was also to provide a source that covers the stage-by-stage integration of the four key areas involving planning, physical infrastructure, ICT infrastructure, and deploying the smart solutions necessary for city transformation. With this as the motivation, “Decision Support Systems for Smart City Applications” provides the application of an intelligent decision support system for effectively and efficiently managing the transformation process, which can aid various supply chain stakeholders, academic researchers, and related professionals in building smart cities. Various chapters of this book are expected to support practicing managers during the implementation of smart solutions for city transformation. Audience This book is aimed at both academics and practitioners alike in the fields of intelligent computing, decision support systems, the manufacturing industry, supply chain managers, stakeholders, policymakers, and other technical and administrative personnel.

First International Conference on Sustainable Technologies for Computational Intelligence

Author : Ashish Kumar Luhach
Publisher : Springer Nature
ISBN 13 : 9811500290
Total Pages : 847 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis First International Conference on Sustainable Technologies for Computational Intelligence by : Ashish Kumar Luhach

Download or read book First International Conference on Sustainable Technologies for Computational Intelligence written by Ashish Kumar Luhach and published by Springer Nature. This book was released on 2019-11-01 with total page 847 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

New Computational Methods in Power System Reliability

Author : David Elmakias
Publisher : Springer Science & Business Media
ISBN 13 : 3540778101
Total Pages : 416 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis New Computational Methods in Power System Reliability by : David Elmakias

Download or read book New Computational Methods in Power System Reliability written by David Elmakias and published by Springer Science & Business Media. This book was released on 2008-07-07 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society. This comprehensive book describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks.

Computational Intelligence in Emerging Technologies for Engineering Applications

Author : Orestes Llanes Santiago
Publisher : Springer Nature
ISBN 13 : 3030344096
Total Pages : 301 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Intelligence in Emerging Technologies for Engineering Applications by : Orestes Llanes Santiago

Download or read book Computational Intelligence in Emerging Technologies for Engineering Applications written by Orestes Llanes Santiago and published by Springer Nature. This book was released on 2020-02-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

Optimization Techniques in Engineering

Author : Anita Khosla
Publisher : John Wiley & Sons
ISBN 13 : 111990627X
Total Pages : 548 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Optimization Techniques in Engineering by : Anita Khosla

Download or read book Optimization Techniques in Engineering written by Anita Khosla and published by John Wiley & Sons. This book was released on 2023-06-07 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: OPTIMIZATION TECHNIQUES IN ENGINEERING The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained. This book aims to present some of the recent developments in the area of optimization theory, methods, and applications in engineering. It focuses on the metaphor of the inspired system and how to configure and apply the various algorithms. The book comprises 30 chapters and is organized into two parts: Part I — Soft Computing and Evolutionary-Based Optimization; and Part II — Decision Science and Simulation-Based Optimization, which contains application-based chapters. Readers and users will find in the book: An overview and brief background of optimization methods which are used very popularly in almost all applications of science, engineering, technology, and mathematics; An in-depth treatment of contributions to optimal learning and optimizing engineering systems; Maps out the relations between optimization and other mathematical topics and disciplines; A problem-solving approach and a large number of illustrative examples, leading to a step-by-step formulation and solving of optimization problems. Audience Researchers, industry professionals, academicians, and doctoral scholars in major domains of engineering, production, thermal, electrical, industrial, materials, design, computer engineering, and natural sciences. The book is also suitable for researchers and postgraduate students in mathematics, applied mathematics, and industrial mathematics.

Fuzzy Computing in Data Science

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119864925
Total Pages : 373 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Fuzzy Computing in Data Science by : Sachi Nandan Mohanty

Download or read book Fuzzy Computing in Data Science written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2022-12-08 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, system control, and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation. Audience Researchers and students in computer science, artificial intelligence, machine learning, big data analytics, and information and communication technology.