Chemical Optimization Algorithm For Fuzzy Controller Design

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Chemical Optimization Algorithm for Fuzzy Controller Design

Leslie Astudillo,Patricia Melin,Oscar Castillo
Chemical Optimization Algorithm for Fuzzy Controller Design Book PDF

Author : Leslie Astudillo,Patricia Melin,Oscar Castillo
Publisher : Springer Science & Business Media
Page : 81 pages
File Size : 49,8 Mb
Release : 2014-03-13
Category : Technology & Engineering
ISBN : 9783319052458

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Chemical Optimization Algorithm for Fuzzy Controller Design by Leslie Astudillo,Patricia Melin,Oscar Castillo Pdf

In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Recent Advances of Hybrid Intelligent Systems Based on Soft Computing Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer Nature
Page : 341 pages
File Size : 46,9 Mb
Release : 2020-11-06
Category : Technology & Engineering
ISBN : 9783030587284

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book describes recent advances 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 are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes 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.

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspects and Real Applications Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer
Page : 546 pages
File Size : 43,9 Mb
Release : 2018-01-10
Category : Technology & Engineering
ISBN : 9783319710082

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Oscar Castillo,Patricia Melin
Hybrid Intelligent Systems in Control Pattern Recognition and Medicine Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 354 pages
File Size : 46,5 Mb
Release : 2019-11-23
Category : Technology & Engineering
ISBN : 9783030341350

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine by Oscar Castillo,Patricia Melin Pdf

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

Fuzzy Techniques: Theory and Applications

Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich
Fuzzy Techniques Theory and Applications Book PDF

Author : Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich
Publisher : Springer
Page : 823 pages
File Size : 41,6 Mb
Release : 2019-06-10
Category : Technology & Engineering
ISBN : 9783030219208

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Fuzzy Techniques: Theory and Applications by Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich Pdf

This book describes the latest findings related to fuzzy techniques, discussing applications in control, economics, education, humor studies, industrial engineering, linguistics, management, marketing, medicine and public health, military engineering, robotics, ship design, sports, transportation, and many other areas. It also presents recent fuzzy-related algorithms and theoretical results that can be used in other application areas. Featuring selected papers from the Joint World Congress of the International Fuzzy Systems Association (IFSA) and the Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) IFSA-NAFIPS’2019, held in Lafayette, Louisiana, USA, on June 18–21, 2019, the book is of interest to practitioners wanting to use fuzzy techniques to process imprecise expert knowledge. It is also a valuable resource for researchers wishing to extend the ideas from these papers to new application areas, for graduate students and for anyone else interested in problems involving fuzziness and uncertainty.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Intuitionistic and Type 2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer Nature
Page : 792 pages
File Size : 50,9 Mb
Release : 2020-02-27
Category : Technology & Engineering
ISBN : 9783030354459

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Fuzzy Logic in Intelligent System Design

Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Fuzzy Logic in Intelligent System Design Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Publisher : Springer
Page : 422 pages
File Size : 47,6 Mb
Release : 2017-09-30
Category : Technology & Engineering
ISBN : 9783319671376

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Fuzzy Logic in Intelligent System Design by Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek Pdf

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Radu-Emil Precup,Radu-Codrut David
Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems Book PDF

Author : Radu-Emil Precup,Radu-Codrut David
Publisher : Butterworth-Heinemann
Page : 148 pages
File Size : 54,5 Mb
Release : 2019-05-15
Category : Technology & Engineering
ISBN : 9780128163580

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Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems by Radu-Emil Precup,Radu-Codrut David Pdf

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems suits the general need of a book that explains the major issues to fuzzy control in servo systems without any solid mathematical prerequisite. In addition, pertinent information on nature-inspired optimization algorithms is offered. The book is intended to rapidly make intelligible notions of fuzzy set theory and fuzzy control to readers with limited experience. The attractive analysis and design methodologies dedicated to fuzzy controllers are accompanied by applications to servo systems and case studies in fuzzy controlled servo systems are organized in a special chapter of this book, and allow simple implementations of low-cost automation solutions. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation results and real-time experimental results as well. This book aims at a large category of audience including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems. Gives a merge between classical and modern approaches to fuzzy control Presents in a unified structure from the point of view of a control engineer the essential aspects regarding fuzzy control in servo systems Makes intelligible notions of fuzzy set theory and fuzzy control to readers with limited experience

Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

Oscar Castillo,Patricia Ochoa,Jose Soria
Differential Evolution Algorithm with Type 2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control Book PDF

Author : Oscar Castillo,Patricia Ochoa,Jose Soria
Publisher : Springer Nature
Page : 66 pages
File Size : 47,5 Mb
Release : 2020-11-19
Category : Technology & Engineering
ISBN : 9783030621339

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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control by Oscar Castillo,Patricia Ochoa,Jose Soria Pdf

This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems.

Nature-Inspired Design of Hybrid Intelligent Systems

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Nature Inspired Design of Hybrid Intelligent Systems Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 838 pages
File Size : 47,7 Mb
Release : 2016-12-08
Category : Technology & Engineering
ISBN : 9783319470542

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Nature-Inspired Design of Hybrid Intelligent Systems by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Type-2 Fuzzy Logic in Intelligent Control Applications

Oscar Castillo
Type 2 Fuzzy Logic in Intelligent Control Applications Book PDF

Author : Oscar Castillo
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 50,5 Mb
Release : 2011-10-18
Category : Computers
ISBN : 9783642246623

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Type-2 Fuzzy Logic in Intelligent Control Applications by Oscar Castillo Pdf

We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Recent Advances on Hybrid Approaches for Designing Intelligent Systems Book PDF

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Publisher : Springer
Page : 702 pages
File Size : 54,8 Mb
Release : 2014-03-26
Category : Technology & Engineering
ISBN : 9783319051703

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems by Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk Pdf

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Toward Humanoid Robots: The Role of Fuzzy Sets

Cengiz Kahraman,Eda Bolturk
Toward Humanoid Robots The Role of Fuzzy Sets Book PDF

Author : Cengiz Kahraman,Eda Bolturk
Publisher : Springer Nature
Page : 310 pages
File Size : 52,8 Mb
Release : 2021-04-04
Category : Technology & Engineering
ISBN : 9783030671631

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Toward Humanoid Robots: The Role of Fuzzy Sets by Cengiz Kahraman,Eda Bolturk Pdf

This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. It provides readers with the necessary intelligent and fuzzy tools for controlling humanoid robots by incomplete, vague, and imprecise information or insufficient data, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy control, metaheuristic-based control, neutrosophic control, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on humanoid robots. Moreover, by extending all the main aspects of humanoid robots to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.

Advances in Artificial Intelligence and Soft Computing

Grigori Sidorov,Sofía N. Galicia-Haro
Advances in Artificial Intelligence and Soft Computing Book PDF

Author : Grigori Sidorov,Sofía N. Galicia-Haro
Publisher : Springer
Page : 575 pages
File Size : 45,8 Mb
Release : 2015-11-19
Category : Computers
ISBN : 9783319270609

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Advances in Artificial Intelligence and Soft Computing by Grigori Sidorov,Sofía N. Galicia-Haro Pdf

The two volume set LNAI 9413 + LNAI 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Oscar Castillo,Patricia Melin
Fuzzy Logic Augmentation of Nature Inspired Optimization Metaheuristics Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer
Page : 195 pages
File Size : 47,7 Mb
Release : 2014-09-20
Category : Technology & Engineering
ISBN : 9783319109602

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Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics by Oscar Castillo,Patricia Melin Pdf

This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.