Soft Computing And Optimization PDF Download
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| Author | : Kaushik Kumar |
| Publisher | : CRC Press |
| Total Pages | : 169 |
| Release | : 2019-02-21 |
| Genre | : Mathematics |
| ISBN | : 0429622899 |
Download Soft Computing Techniques for Engineering Optimization Book in PDF, ePub and Kindle
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
| Author | : Patricia Melin |
| Publisher | : Springer |
| Total Pages | : 341 |
| Release | : 2012-12-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642353231 |
Download Soft Computing Applications in Optimization, Control, and Recognition Book in PDF, ePub and Kindle
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.
| Author | : Weldon A. Lodwick |
| Publisher | : Springer |
| Total Pages | : 535 |
| Release | : 2010-07-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3642139353 |
Download Fuzzy Optimization Book in PDF, ePub and Kindle
Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to to find a best possible option or solution. The volume is divided into a coupe of parts which present various aspects of fuzzy optimization, some related more general issues, and applications.
| Author | : Margarita-Arimatea Díaz-Cortés |
| Publisher | : Springer |
| Total Pages | : 268 |
| Release | : 2017-04-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3319578138 |
Download Engineering Applications of Soft Computing Book in PDF, ePub and Kindle
This book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches. Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others.
| Author | : Wengang Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 143 |
| Release | : 2021-10-12 |
| Genre | : Science |
| ISBN | : 9811668353 |
Download Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience Book in PDF, ePub and Kindle
This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
| Author | : Syeda Darakhshan Jabeen |
| Publisher | : Springer Nature |
| Total Pages | : 362 |
| Release | : 2023-03-14 |
| Genre | : Mathematics |
| ISBN | : 9811964068 |
Download Soft Computing and Optimization Book in PDF, ePub and Kindle
This book collects papers presented at the Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021), held at the Birla Institute of Technology, Mesra, Ranchi, India, from 26–27 March 2021. Topics discussed in the book are on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book highlights research on: (a) hybrid intelligent systems based on soft computing, new concepts and algorithms based on fuzzy logic and their applications, (b) theory and practice of meta-heuristics in different areas of application, (c) applications of fuzzy logic, (d) neural networks and hybrid intelligent systems in medical applications, (e) neural networks and optimization and evolutionary algorithms and their different applications and (f) applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems. Some papers contain applications background like approximate solution of fractional differential equations via fixed-point algorithms and applications to equilibrium problems and image deburring problems. The book will be of great use to students, researchers and scientists in computer science, optimization and engineering, and those interested on computational intelligence and soft computing and their applications.
| Author | : Oscar Castillo |
| Publisher | : Springer Nature |
| Total Pages | : 383 |
| Release | : 2021-03-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3030687767 |
Download Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications Book in PDF, ePub and Kindle
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.
| Author | : David A. Pelta |
| Publisher | : Springer |
| Total Pages | : 314 |
| Release | : 2017-08-03 |
| Genre | : Technology & Engineering |
| ISBN | : 3319642863 |
Download Soft Computing Based Optimization and Decision Models Book in PDF, ePub and Kindle
This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis. Written by leading international experts from the United States, Brazil and Cuba, as well as the United Kingdom, France, Finland and Spain, it discusses theoretical developments in and practical applications of soft computing in fields where these methods are crucial to obtaining better models, including: intelligent transportation systems, maritime logistics, portfolio selection, decision- making, fuzzy cognitive maps, and fault detection. The book is dedicated to Professor José L. Verdegay, a pioneer who has been actively pursuing research in fuzzy sets theory and soft computing since 1982, in honor of his 65th birthday.
| Author | : Debesh Mishra |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 218 |
| Release | : 2022-07-18 |
| Genre | : Computers |
| ISBN | : 3110745372 |
Download Soft Computing and Optimization Techniques for Sustainable Agriculture Book in PDF, ePub and Kindle
This book covers the emerging applications of different computational and optimization techniques in order to achieve a sustainable agriculture. A sustainable agricultural management requires tools in providing integrated, area-specifi c, and interpreted prediction or forecasting and guidance in every aspect in agriculture.
| Author | : X.Z. Gao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 300 |
| Release | : 2010-09-07 |
| Genre | : Technology & Engineering |
| ISBN | : 364211282X |
Download Soft Computing in Industrial Applications Book in PDF, ePub and Kindle
The 14th onlineWorld Conference on Soft Computing in Industrial Applications provides a unique opportunity for soft computing researchers and practitioners to publish high quality papers and discuss research issues in detail without incurring a huge cost. The conference has established itself as a truly global event on the Internet. The quality of the conference has improved over the years. The WSC14 conference has covered new trends in soft computing to state of the art applications. The conference has also added new features such as community tools, syndication, and multimedia online presentations.
