Applied Analysis Optimization And Soft Computing

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Applied Analysis, Optimization and Soft Computing

Author : Tanmoy Som
Publisher : Springer Nature
ISBN 13 : 9819905974
Total Pages : 425 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Applied Analysis, Optimization and Soft Computing by : Tanmoy Som

Download or read book Applied Analysis, Optimization and Soft Computing written by Tanmoy Som and published by Springer Nature. This book was released on 2023-06-10 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains select contributions presented at the International Conference on Nonlinear Applied Analysis and Optimization (ICNAAO-2021), held at the Department of Mathematics Sciences, Indian Institute of Technology (BHU) Varanasi, India, from 21–23 December 2021. The book discusses topics in the areas of nonlinear analysis, fixed point theory, dynamical systems, optimization, fractals, applications to differential/integral equations, signal and image processing, and soft computing, and exposes the young talents with the newer dimensions in these areas with their practical approaches and to tackle the real-life problems in engineering, medical and social sciences. Scientists from the U.S.A., Austria, France, Mexico, Romania, and India have contributed their research. All the submissions are peer reviewed by experts in their fields.

Applied Analysis, Optimization and Soft Computing

Author : Tanmoy Som
Publisher : Springer Proceedings in Mathematics & Statistics
ISBN 13 : 9789819905997
Total Pages : 0 pages
Book Rating : 4.9/5 (59 download)

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Book Synopsis Applied Analysis, Optimization and Soft Computing by : Tanmoy Som

Download or read book Applied Analysis, Optimization and Soft Computing written by Tanmoy Som and published by Springer Proceedings in Mathematics & Statistics. This book was released on 2024-06-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains select contributions presented at the International Conference on Nonlinear Applied Analysis and Optimization (ICNAAO-2021), held at the Department of Mathematics, Indian Institute of Technology (BHU) Varanasi, India, from 21-23 December 2021. The book discusses topics in the areas of nonlinear analysis, fixed point theory, dynamical systems, optimization, fractals, applications to differential/integral equations, signal and image processing, and soft computing, and exposes the young talents with the newer dimensions in these areas with their practical approaches and to tackle the real-life problems in engineering, medical and social sciences. Scientists from the U.S.A., Austria, France, Mexico, Romania, and India have contributed their research. All the submissions are peer reviewed by experts in their fields.

Applied Analysis, Optimization and Soft Computing

Author : Tanmoy Som
Publisher :
ISBN 13 : 9789819905980
Total Pages : 0 pages
Book Rating : 4.9/5 (59 download)

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Book Synopsis Applied Analysis, Optimization and Soft Computing by : Tanmoy Som

Download or read book Applied Analysis, Optimization and Soft Computing written by Tanmoy Som and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains select contributions presented at the International Conference on Nonlinear Applied Analysis and Optimization (ICNAAO-2021), held at the Department of Mathematics, Indian Institute of Technology (BHU) Varanasi, India, from 21-23 December 2021. The book discusses topics in the areas of nonlinear analysis, fixed point theory, dynamical systems, optimization, fractals, applications to differential/integral equations, signal and image processing, and soft computing, and exposes the young talents with the newer dimensions in these areas with their practical approaches and to tackle the real-life problems in engineering, medical and social sciences. Scientists from the U.S.A., Austria, France, Mexico, Romania, and India have contributed their research. All the submissions are peer reviewed by experts in their fields.

Applied Nonlinear Analysis and Soft Computing

Author : Hemen Dutta
Publisher : Springer Nature
ISBN 13 : 9811980543
Total Pages : 433 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Applied Nonlinear Analysis and Soft Computing by : Hemen Dutta

Download or read book Applied Nonlinear Analysis and Soft Computing written by Hemen Dutta and published by Springer Nature. This book was released on 2023-07-20 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume contains original research papers as the Proceedings of the International Conference on Applied Nonlinear Analysis and Soft Computing (ANASC 2020), held at Gauhati University, Guwahati, India, on 22-23 December, 2020. It focuses on current research topics in applied analysis including nonlinearity, soft computing and related areas. It primarily includes topics related to pattern recognition, reaction-diffusion problem, decision making problems, inventory model, predator-prey model, logistic models, wave problems, problems in Magnetohydrodynamics, cosmological model, harmonic functions, graphs, shapes, etc. Researchers, educators, scientist and professionals interested in recent developments in applied analysis including nonlinearity aspects and soft computing should be benefited from this volume.

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.

Applied Soft Computing

Author : Samarjeet Borah
Publisher : CRC Press
ISBN 13 : 1000406636
Total Pages : 286 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Applied Soft Computing by : Samarjeet Borah

Download or read book Applied Soft Computing written by Samarjeet Borah and published by CRC Press. This book was released on 2022-02-03 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Author : Shandilya, Shishir K.
Publisher : IGI Global
ISBN 13 : 1522521291
Total Pages : 627 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Soft Computing and Nature-Inspired Algorithms by : Shandilya, Shishir K.

Download or read book Handbook of Research on Soft Computing and Nature-Inspired Algorithms written by Shandilya, Shishir K. and published by IGI Global. This book was released on 2017-03-10 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Computing Tools for Modeling, Optimization and Simulation

Author : Manuel Laguna
Publisher : Springer Science & Business Media
ISBN 13 : 1461545676
Total Pages : 318 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Computing Tools for Modeling, Optimization and Simulation by : Manuel Laguna

Download or read book Computing Tools for Modeling, Optimization and Simulation written by Manuel Laguna and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful software tools in the years ahead. The 17 papers included in this volume were carefully selected to cover a wide range of topics related to the interface between operations research and computer science. The volume includes the now perennial applications of rnetaheuristics (such as genetic algorithms, scatter search, and tabu search) as well as research on global optimization, knowledge management, software rnaintainability and object-oriented modeling. These topics reflect the complexity and variety of the problems that current and future software tools must be capable of tackling. The OR/CS interface is frequently at the core of successful applications and the development of new methodologies, making the research in this book a relevant reference in the future. The editors' goal for this book has been to increase the interest in the interface of computer science and operations research. Both researchers and practitioners will benefit from this book. The tutorial papers may spark the interest of practitioners for developing and applying new techniques to complex problems. In addition, the book includes papers that explore new angles of well-established methods for problems in the area of nonlinear optimization and mixed integer programming, which seasoned researchers in these fields may find fascinating.

Applied Computational Intelligence and Soft Computing in Engineering

Author : Khalid, Saifullah
Publisher : IGI Global
ISBN 13 : 1522531300
Total Pages : 340 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Applied Computational Intelligence and Soft Computing in Engineering by : Khalid, Saifullah

Download or read book Applied Computational Intelligence and Soft Computing in Engineering written by Khalid, Saifullah and published by IGI Global. This book was released on 2017-09-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

Optimization Software Guide

Author : Jorge J. More
Publisher : SIAM
ISBN 13 : 0898713226
Total Pages : 149 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Optimization Software Guide by : Jorge J. More

Download or read book Optimization Software Guide written by Jorge J. More and published by SIAM. This book was released on 1993-01-01 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Numerical Analysis.

High Performance Algorithms and Software for Nonlinear Optimization

Author : Gianni Pillo
Publisher : Springer Science & Business Media
ISBN 13 : 1461302412
Total Pages : 418 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis High Performance Algorithms and Software for Nonlinear Optimization by : Gianni Pillo

Download or read book High Performance Algorithms and Software for Nonlinear Optimization written by Gianni Pillo and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the edited texts of the lectures presented at the Workshop on High Performance Algorithms and Software for Nonlinear Optimization held in Erice, Sicily, at the "G. Stampacchia" School of Mathematics of the "E. Majorana" Centre for Scientific Culture, June 30 - July 8, 2001. In the first year of the new century, the aim of the Workshop was to assess the past and to discuss the future of Nonlinear Optimization, and to highlight recent achieve ments and promising research trends in this field. An emphasis was requested on algorithmic and high performance software developments and on new computational experiences, as well as on theoretical advances. We believe that such goal was basically achieved. The Workshop was attended by 71 people from 22 countries. Although not all topics were covered, the presentations gave indeed a wide overview of the field, from different and complementary stand points. Besides the lectures, several formal and informal discussions took place. We wish to express our appreciation for the active contribution of all the participants in the meeting. The 18 papers included in this volume represent a significant selection of the most recent developments in nonlinear programming theory and practice. They show that there is plenty of exciting ideas, implementation issues and new applications which produce a very fast evolution in the field.

Handbook of Research on Emergent Applications of Optimization Algorithms

Author : Vasant, Pandian
Publisher : IGI Global
ISBN 13 : 1522529918
Total Pages : 812 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Emergent Applications of Optimization Algorithms by : Vasant, Pandian

Download or read book Handbook of Research on Emergent Applications of Optimization Algorithms written by Vasant, Pandian and published by IGI Global. This book was released on 2017-10-31 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. The Handbook of Research on Emergent Applications of Optimization Algorithms is an authoritative reference source for the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is ideally designed for students, researchers, and engineers interested in emerging developments in optimization algorithms.

Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling

Author : Tanmoy Som
Publisher : Springer Nature
ISBN 13 : 9811985669
Total Pages : 279 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling by : Tanmoy Som

Download or read book Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling written by Tanmoy Som and published by Springer Nature. This book was released on 2023-03-25 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science. This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and bioinformatics. To handle different nature of problems, including uncertainty, the book highlights the theory and recent developments on uncertainty, fuzzy systems, feature extraction, text categorization, multiscale modeling, soft computing, machine learning, deep learning, SMOTE, data handling, decision making, Diophantine fuzzy soft set, data envelopment analysis, centrally measures, social networks, Volterra–Fredholm integro-differential equation, Caputo fractional derivative, interval optimization, decision making, classification problems. This book is predominantly envisioned for researchers and students of data science, medical scientists and professional engineers.

Soft Computing in Interdisciplinary Sciences

Author : S. Chakraverty
Publisher : Springer Nature
ISBN 13 : 9811647135
Total Pages : 264 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Soft Computing in Interdisciplinary Sciences by : S. Chakraverty

Download or read book Soft Computing in Interdisciplinary Sciences written by S. Chakraverty and published by Springer Nature. This book was released on 2021-11-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

Nature-Inspired Optimization Algorithms

Author : Xin-She Yang
Publisher : Academic Press
ISBN 13 : 0128219890
Total Pages : 312 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Nature-Inspired Optimization Algorithms by : Xin-She Yang

Download or read book Nature-Inspired Optimization Algorithms written by Xin-She Yang and published by Academic Press. This book was released on 2020-09-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding and practical implementation hints Presents a step-by-step introduction to each algorithm Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications

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.

Advances in Stochastic and Deterministic Global Optimization

Author : Panos M. Pardalos
Publisher : Springer
ISBN 13 : 3319299751
Total Pages : 296 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Stochastic and Deterministic Global Optimization by : Panos M. Pardalos

Download or read book Advances in Stochastic and Deterministic Global Optimization written by Panos M. Pardalos and published by Springer. This book was released on 2016-11-04 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book. This volume is dedicated to the 70th birthday of Antanas Žilinskas who is a leading world expert in global optimization. Professor Žilinskas's research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems.