Soft Computing Approach For Mathematical Modeling Of Engineering Problems

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Soft Computing Approach for Mathematical Modeling of Engineering Problems

Author : Ali Ahmadian
Publisher : CRC Press
ISBN 13 : 1000432467
Total Pages : 160 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Soft Computing Approach for Mathematical Modeling of Engineering Problems by : Ali Ahmadian

Download or read book Soft Computing Approach for Mathematical Modeling of Engineering Problems written by Ali Ahmadian and published by CRC Press. This book was released on 2021-09-02 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Author : Ali Ahmadian
Publisher : CRC Press
ISBN 13 : 1000432440
Total Pages : 223 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Soft Computing Approach for Mathematical Modeling of Engineering Problems by : Ali Ahmadian

Download or read book Soft Computing Approach for Mathematical Modeling of Engineering Problems written by Ali Ahmadian and published by CRC Press. This book was released on 2021-09-02 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.

Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications

Author : T. Ananth Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119785502
Total Pages : 370 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications by : T. Ananth Kumar

Download or read book Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications written by T. Ananth Kumar and published by John Wiley & Sons. This book was released on 2021-08-16 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: SIMULATIONS AND ANALYSIS of Mathematical Methods Written and edited by a group of international experts in the field, this exciting new volume covers the state of the art of real-time applications of computer science using mathematics. This breakthrough edited volume highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and scientists in all fields of science and technology. It highlights the current research, which is intended to advance not only mathematics but all areas of science, research, and development, and where these disciplines intersect. As the book is focused on emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it is an invaluable tool for researchers, academicians, data scientists, and technology developers. The newest and most comprehensive volume in the area of mathematical methods for use in real-time engineering, this groundbreaking new work is a must-have for any engineer or scientist’s library. Also useful as a textbook for the student, it is a valuable contribution to the advancement of the science, both a working handbook for the new hire or student, and a reference for the veteran engineer.

Mathematical Modelling

Author : Seppo Pohjolainen
Publisher : Springer
ISBN 13 : 3319278363
Total Pages : 242 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Mathematical Modelling by : Seppo Pohjolainen

Download or read book Mathematical Modelling written by Seppo Pohjolainen and published by Springer. This book was released on 2016-07-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough introduction to the challenge of applying mathematics in real-world scenarios. Modelling tasks rarely involve well-defined categories, and they often require multidisciplinary input from mathematics, physics, computer sciences, or engineering. In keeping with this spirit of modelling, the book includes a wealth of cross-references between the chapters and frequently points to the real-world context. The book combines classical approaches to modelling with novel areas such as soft computing methods, inverse problems, and model uncertainty. Attention is also paid to the interaction between models, data and the use of mathematical software. The reader will find a broad selection of theoretical tools for practicing industrial mathematics, including the analysis of continuum models, probabilistic and discrete phenomena, and asymptotic and sensitivity analysis.

Computing and Simulation for Engineers

Author : Ziya Uddin
Publisher : CRC Press
ISBN 13 : 1000599892
Total Pages : 209 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Computing and Simulation for Engineers by : Ziya Uddin

Download or read book Computing and Simulation for Engineers written by Ziya Uddin and published by CRC Press. This book was released on 2022-06-29 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the reader with comprehensive insight into various kinds of mathematical modeling and numerical computation for problems arising in several branches of engineering, such as mechanical engineering, computer science engineering, electrical engineering, electronics and communication engineering, and civil engineering. The book: • Discusses topics related to clean and green energy production and storage • Bridges the gap between core theory and costly industrial experiments • Covers advanced biomechanics and nanodrug delivery topics • Explores diversified applications of mathematical techniques to solve practical engineering problems The text in this book emphasizes mathematical treatment of soft computing, image and signal processing, fluid flows in various geometries, biomechanics, biological modeling, a mathematical description of the solar cell, analytical and numerical treatment of problems in fracture mechanics, and antenna design modeling. It also discusses the numerical computations of biomechanics problems and problems arising in cryptography. The text further covers optimization techniques that are useful for real-world problems. This material is primarily written for graduate students and academic researchers in a number of engineering fields, including electrical, electronics and communication, industrial, manufacturing, mechanical, computer science, and mathematics.

Modelling, Simulation and Control of Non-linear Dynamical Systems

Author : Patricia Melin
Publisher : CRC Press
ISBN 13 : 1000611965
Total Pages : 149 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Modelling, Simulation and Control of Non-linear Dynamical Systems by : Patricia Melin

Download or read book Modelling, Simulation and Control of Non-linear Dynamical Systems written by Patricia Melin and published by CRC Press. This book was released on 2001-10-25 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la

Mathematical Modelling and Optimization of Engineering Problems

Author : J. A. Tenreiro Machado
Publisher : Springer Nature
ISBN 13 : 3030370623
Total Pages : 204 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Mathematical Modelling and Optimization of Engineering Problems by : J. A. Tenreiro Machado

Download or read book Mathematical Modelling and Optimization of Engineering Problems written by J. A. Tenreiro Machado and published by Springer Nature. This book was released on 2020-02-12 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.

Soft Computing

Author : Pradip Debnath
Publisher : CRC Press
ISBN 13 : 1000830845
Total Pages : 247 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Soft Computing by : Pradip Debnath

Download or read book Soft Computing written by Pradip Debnath and published by CRC Press. This book was released on 2023-02-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores soft computing techniques in a systematic manner starting from their initial stage to recent developments in this area. The book presents a survey of the existing knowledge and the current state-of-the-art development through cutting-edge original new contributions from the researchers. Soft Computing: Recent Advances and Applications in Engineering and Mathematical Sciences presents a survey of the existing knowledge and the current state-of-the-art development through cutting-edge original new contributions from the researchers. As suggested by the title, this book particularly focuses on the recent advances and applications of soft computing techniques in engineering and mathematical sciences. Chapter 1 describes the contribution of soft computing techniques towards a new paradigm shift. The subsequent chapters present a systematic application of fuzzy logic in mathematical sciences and decision-making. New research directions are also provided at the end of each chapter. The application of soft computing in health sciences and in the modeling of epidemics including the effects of vaccination are also examined. Sustainability of green product development, optimum design of 3D steel frame, digitalization investment analysis in the maritime industry, forecasting return rates of individual pension funds are among some of the topics where engineering and industrial applications of soft computing have been studied in the book. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics. This book is meant for graduate students, faculty, and researchers who are applying soft computing in engineering and mathematics. New research directions are also provided at the end of each chapter.

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Author : Saxena, Pratiksha
Publisher : IGI Global
ISBN 13 : 1466698861
Total Pages : 403 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications by : Saxena, Pratiksha

Download or read book Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications written by Saxena, Pratiksha and published by IGI Global. This book was released on 2016-03-01 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques have developed into a modern-day solution for real-world problems in various industries. As a way to improve performance and handle issues of uncertainty, optimization research becomes a topic of special interest across disciplines. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.

Modeling and Problem Solving Techniques for Engineers

Author : Laszlo Horvath
Publisher : Elsevier
ISBN 13 : 0080511910
Total Pages : 352 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Modeling and Problem Solving Techniques for Engineers by : Laszlo Horvath

Download or read book Modeling and Problem Solving Techniques for Engineers written by Laszlo Horvath and published by Elsevier. This book was released on 2004-08-14 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive survey of computer methods for engineers that know the importance of the future applications of these techniques but can not understand them. Typically, design and production engineers can find books for specialists but they need one that helps them to understand the mystic world of advanced computer aided engineering activitites. This book is intended to fill this gap. Mechanical engineers will find basic theory and the value of competitive computer-aided engineering methods in the proposed book. The book will be written in a style free of computer specialists' jargon. The topic of the book is computer methodology for engineers, including conceptual design, detailed design, styling, modeling, analysis, simulation, manufacturing planning, 3D graphic visualization. The aspect is of the engineer who is in dialog connection with computer procedures and is working in a human-computer system where a group of engineers collaborates using an advanced concurrent engineering environment. The book will include chapters on: computing for engineering; computer representation; computing methods: creating computer representations; application of computer representations; engineering activities in the global computer environment; and opinions of some potentials. The audience for this book consists of engineers, who must be familiar with computer methods and should be able to apply them in their work, as well as students who are not involved in computer-related courses but need an understanding of the world of computer-aided engineering to solve engineering tasks. Potential readers may be any individuals who need to understand computer-aided engineering methods, especially engineering modeling. *Written by engineering professors who are also IT professionals, this book marries two points-of-view to provide a unique perspective *Covers the full spectrum of computer-aided engineering, from mathematics to graphics *Written purposefully in languge that is IT jargon-free, so that engineers will not get lost in tangled acronyms

Mathematical Modeling and Soft Computing in Epidemiology

Author : Jyoti Mishra
Publisher : CRC Press
ISBN 13 : 1000226948
Total Pages : 441 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Mathematical Modeling and Soft Computing in Epidemiology by : Jyoti Mishra

Download or read book Mathematical Modeling and Soft Computing in Epidemiology written by Jyoti Mishra and published by CRC Press. This book was released on 2020-12-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions. This book covers mathematical modeling and soft computing techniques used to study the spread of diseases, predict the future course of an outbreak, and evaluate epidemic control strategies. This book explores the applications covering numerical and analytical solutions, presents basic and advanced concepts for beginners and industry professionals, and incorporates the latest methodologies and challenges using mathematical modeling and soft computing techniques in epidemiology. Primary users of this book include researchers, academicians, postgraduate students, and specialists.

Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

Author : Madhu Jain
Publisher : CRC Press
ISBN 13 : 1000885607
Total Pages : 410 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development by : Madhu Jain

Download or read book Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development written by Madhu Jain and published by CRC Press. This book was released on 2023-06-07 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book: Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.

Mathematical Modeling for Intelligent Systems

Author : Mukesh Kumar Awasthi
Publisher : CRC Press
ISBN 13 : 1000618404
Total Pages : 263 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Mathematical Modeling for Intelligent Systems by : Mukesh Kumar Awasthi

Download or read book Mathematical Modeling for Intelligent Systems written by Mukesh Kumar Awasthi and published by CRC Press. This book was released on 2022-07-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: • Offers a well-balanced mathematical analysis of modeling physical systems • Summarizes basic principles in differential geometry and convex analysis as needed • Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling • Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

Advanced Mathematical Techniques in Science and Engineering

Author : Mangey Ram
Publisher : CRC Press
ISBN 13 : 1000794954
Total Pages : 249 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Advanced Mathematical Techniques in Science and Engineering by : Mangey Ram

Download or read book Advanced Mathematical Techniques in Science and Engineering written by Mangey Ram and published by CRC Press. This book was released on 2022-09-01 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, mathematical techniques applied to novel disciplines within the science and engineering have experienced extraordinary growth. Advanced Mathematical Techniques in Science and Engineering focusses on a detailed range of mathematics applied within various fields of science and engineering for different tasks. Topics of focus include:- Analysis of Consensus-Building Time in Social Groups- Modeling of intersystem accidents in critical infrastructure systems- Stochastic approaches to analysis and modeling of multi-sources and big data- Performance evaluation of computational DoS attack on access point in Wireless LANs- Ranking methods for decision-making under uncertainty- Understanding time delay based Modeling & Diffusion of technological products- Role of soft computing in science and engineering- Complex system reliability analysis and optimization- Tree growth models in forest ecosystems modellingThis research book can be used as a reference for students in a final year undergraduate engineering course, such as mechanical, mechatronics, industrial, computer science, information technology, etc. Furthermore, the book can serve as a valuable reference for academics, engineers and researchers in these and related subject areas.

Soft Computing

Author : Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110625717
Total Pages : 209 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Soft Computing by : Mangey Ram

Download or read book Soft Computing written by Mangey Ram and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-08-24 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations. This book elaborates on the most recent applications in various fields of engineering.

Soft Computing Techniques for Engineering Optimization

Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 0429622899
Total Pages : 169 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Soft Computing Techniques for Engineering Optimization by : Kaushik Kumar

Download or read book Soft Computing Techniques for Engineering Optimization written by Kaushik Kumar and published by CRC Press. This book was released on 2019-02-21 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

Modeling, Simulation, and Optimization

Author : Pandian Vasant
Publisher : Springer
ISBN 13 : 9783319705415
Total Pages : 129 pages
Book Rating : 4.7/5 (54 download)

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Book Synopsis Modeling, Simulation, and Optimization by : Pandian Vasant

Download or read book Modeling, Simulation, and Optimization written by Pandian Vasant and published by Springer. This book was released on 2017-12-19 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.