Optimization Of Integer Fractional Order Chaotic Systems By Metaheuristics And Their Electronic Realization

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Optimization of Integer/Fractional Order Chaotic Systems by Metaheuristics and their Electronic Realization

Esteban Tlelo-Cuautle,Luis Gerardo de la Fraga,Omar Guillén-Fernández,Alejandro Silva-Juárez
Optimization of Integer Fractional Order Chaotic Systems by Metaheuristics and their Electronic Realization Book PDF

Author : Esteban Tlelo-Cuautle,Luis Gerardo de la Fraga,Omar Guillén-Fernández,Alejandro Silva-Juárez
Publisher : CRC Press
Page : 267 pages
File Size : 53,9 Mb
Release : 2021-05-09
Category : Mathematics
ISBN : 9781000346657

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Optimization of Integer/Fractional Order Chaotic Systems by Metaheuristics and their Electronic Realization by Esteban Tlelo-Cuautle,Luis Gerardo de la Fraga,Omar Guillén-Fernández,Alejandro Silva-Juárez Pdf

Mathematicians have devised different chaotic systems that are modeled by integer or fractional-order differential equations, and whose mathematical models can generate chaos or hyperchaos. The numerical methods to simulate those integer and fractional-order chaotic systems are quite different and their exactness is responsible in the evaluation of characteristics like Lyapunov exponents, Kaplan-Yorke dimension, and entropy. One challenge is estimating the step-size to run a numerical method. It can be done analyzing the eigenvalues of self-excited attractors, while for hidden attractors it is difficult to evaluate the equilibrium points that are required to formulate the Jacobian matrices. Time simulation of fractional-order chaotic oscillators also requires estimating a memory length to achieve exact results, and it is associated to memories in hardware design. In this manner, simulating chaotic/hyperchaotic oscillators of integer/fractional-order and with self-excited/hidden attractors is quite important to evaluate their Lyapunov exponents, Kaplan-Yorke dimension and entropy. Further, to improve the dynamics of the oscillators, their main characteristics can be optimized applying metaheuristics, which basically consists of varying the values of the coefficients of a mathematical model. The optimized models can then be implemented using commercially available amplifiers, field-programmable analog arrays (FPAA), field-programmable gate arrays (FPGA), microcontrollers, graphic processing units, and even using nanometer technology of integrated circuits. The book describes the application of different numerical methods to simulate integer/fractional-order chaotic systems. These methods are used within optimization loops to maximize positive Lyapunov exponents, Kaplan-Yorke dimension, and entropy. Single and multi-objective optimization approaches applying metaheuristics are described, as well as their tuning techniques to generate feasible solutions that are suitable for electronic implementation. The book details several applications of chaotic oscillators such as in random bit/number generators, cryptography, secure communications, robotics, and Internet of Things.

Complex Systems and Their Applications

Guillermo Huerta Cuéllar,Eric Campos Cantón,Esteban Tlelo-Cuautle
Complex Systems and Their Applications Book PDF

Author : Guillermo Huerta Cuéllar,Eric Campos Cantón,Esteban Tlelo-Cuautle
Publisher : Springer Nature
Page : 267 pages
File Size : 53,8 Mb
Release : 2022-06-10
Category : Science
ISBN : 9783031024726

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Complex Systems and Their Applications by Guillermo Huerta Cuéllar,Eric Campos Cantón,Esteban Tlelo-Cuautle Pdf

This book is a compilation of scientific articles written by recognized researchers, and select students, participating in the Second Conference on the Study of Complex Systems and their Applications (EDIESCA 2021). EDIESCA 2021 arose from the need for academic and research groups that carry out this scientific research to disseminate their results internationally. The study and characterization of systems with non-linear and/or chaotic behavior has been of great interest to researchers around the world, for which many important results have been obtained with various applications. The dynamic study of chaotic oscillators of different models, such as Rössler, Lorenz, and Chua, has generated important advances in understanding of chemical reactions, meteorological behavior, design of electronic devices, and other applications. Topics at the event included applications for communications systems by masking techniques, financial behavior, networks analysis, nonlinear lasers, numerical modeling, electronic design, and other interesting topics in the area of complex systems. Additionally, there are results on numerical simulation and electronic designs to generate complex dynamic behaviors.

Analog/Digital Implementation of Fractional Order Chaotic Circuits and Applications

Esteban Tlelo-Cuautle,Ana Dalia Pano-Azucena,Omar Guillén-Fernández,Alejandro Silva-Juárez
Analog Digital Implementation of Fractional Order Chaotic Circuits and Applications Book PDF

Author : Esteban Tlelo-Cuautle,Ana Dalia Pano-Azucena,Omar Guillén-Fernández,Alejandro Silva-Juárez
Publisher : Springer Nature
Page : 212 pages
File Size : 42,5 Mb
Release : 2019-11-11
Category : Technology & Engineering
ISBN : 9783030312503

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Analog/Digital Implementation of Fractional Order Chaotic Circuits and Applications by Esteban Tlelo-Cuautle,Ana Dalia Pano-Azucena,Omar Guillén-Fernández,Alejandro Silva-Juárez Pdf

This book details the simulation and optimization of integer and fractional-order chaotic systems, and how they can be implemented in the analog and digital domains using FPAAs and FPGAs. Design guidelines are provided to use commercially available electronic devices, and to perform hardware descriptions of integer/fractional-order chaotic systems programming in VHDL. Finally, several engineering applications oriented to cryptography, internet of things, robotics and chaotic communications, are detailed to highlight the usefulness of FPAA/FPGA based integer/fractional-order chaotic systems. Provides guidelines to implement fractional-order derivatives using commercially available devices; Describes details on using FPAAs to approach fractional-order chaotic systems; Includes details on using FPGAs to approach fractional-order chaotic systems, programming in VHDL and reducing hardware resources; Discusses applications to cryptography, internet of things, robotics and chaotic communications.

Fractional Order Darwinian Particle Swarm Optimization

Micael Couceiro,Pedram Ghamisi
Fractional Order Darwinian Particle Swarm Optimization Book PDF

Author : Micael Couceiro,Pedram Ghamisi
Publisher : Springer
Page : 75 pages
File Size : 53,9 Mb
Release : 2015-06-16
Category : Technology & Engineering
ISBN : 9783319196350

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Fractional Order Darwinian Particle Swarm Optimization by Micael Couceiro,Pedram Ghamisi Pdf

This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.

Differential Evolution

Kenneth Price,Rainer M. Storn,Jouni A. Lampinen
Differential Evolution Book PDF

Author : Kenneth Price,Rainer M. Storn,Jouni A. Lampinen
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 54,6 Mb
Release : 2006-03-04
Category : Mathematics
ISBN : 9783540313069

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Differential Evolution by Kenneth Price,Rainer M. Storn,Jouni A. Lampinen Pdf

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.

Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities

Ochoa Ortiz-Zezzatti, Alberto,Rivera, Gilberto,Gómez-Santillán, Claudia,Sánchez–Lara, Benito
Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities Book PDF

Author : Ochoa Ortiz-Zezzatti, Alberto,Rivera, Gilberto,Gómez-Santillán, Claudia,Sánchez–Lara, Benito
Publisher : IGI Global
Page : 498 pages
File Size : 55,9 Mb
Release : 2019-04-05
Category : Business & Economics
ISBN : 9781522581321

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Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities by Ochoa Ortiz-Zezzatti, Alberto,Rivera, Gilberto,Gómez-Santillán, Claudia,Sánchez–Lara, Benito Pdf

Building accurate algorithms for the optimization of picking orders is a difficult task, especially when one considers the delays of real-world situations. In warehouse environments, diverse algorithms must be developed to enhance the global performance relating to combining customer orders into picking orders to reduce wait times. The Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities is a pivotal reference source that addresses strategies for developing able algorithms in order to build better picking orders and the impact of these strategies on the picking systems in which diverse algorithms are implemented. While highlighting topics such ABC optimization, environmental intelligence, and order batching, this publication examines common picking aspects in warehouse environments ranging from manual order picking systems to automated retrieval systems. This book is intended for researchers, teachers, engineers, managers, and practitioners seeking research on algorithms to enhance the order picking performance.

Identification of Dynamic Systems

Rolf Isermann,Marco Münchhof
Identification of Dynamic Systems Book PDF

Author : Rolf Isermann,Marco Münchhof
Publisher : Springer
Page : 0 pages
File Size : 40,7 Mb
Release : 2014-11-23
Category : Technology & Engineering
ISBN : 3642422675

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Identification of Dynamic Systems by Rolf Isermann,Marco Münchhof Pdf

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.

Advanced Technologies for Solar Photovoltaics Energy Systems

Saad Motahhir,Ali M. Eltamaly
Advanced Technologies for Solar Photovoltaics Energy Systems Book PDF

Author : Saad Motahhir,Ali M. Eltamaly
Publisher : Springer Nature
Page : 600 pages
File Size : 41,5 Mb
Release : 2021-04-26
Category : Technology & Engineering
ISBN : 9783030645656

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Advanced Technologies for Solar Photovoltaics Energy Systems by Saad Motahhir,Ali M. Eltamaly Pdf

This book presents a detailed description, analysis, comparison of the latest research and developments in photovoltaic energy. Discussing everything from semiconductors to system integration, and applying various advanced technologies to stand alone and electric utility interfaced in normal and abnormal operating conditions of PV systems, this book provides a thorough introduction to the topic. This book brings together research from around the world, covering the use of technologies such as embedded systems, the Internet of things and blockchain technologies for PV systems for different applications including controllers, solar trackers and cooling systems. The book is of interest to electronic and mechanical engineers, researchers and students in the field of photovoltaics.

Genetic Algorithms in Search, Optimization, and Machine Learning

David Edward Goldberg
Genetic Algorithms in Search Optimization and Machine Learning Book PDF

Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
Page : 436 pages
File Size : 54,7 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015023852034

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Genetic Algorithms in Search, Optimization, and Machine Learning by David Edward Goldberg Pdf

A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.

Advances in Differential Evolution

Uday K. Chakraborty
Advances in Differential Evolution Book PDF

Author : Uday K. Chakraborty
Publisher : Springer Science & Business Media
Page : 343 pages
File Size : 46,5 Mb
Release : 2008-07-23
Category : Computers
ISBN : 9783540688273

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Advances in Differential Evolution by Uday K. Chakraborty Pdf

Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written by leading experts in the area. The first seven chapters focus on algorithm design, while the last seven describe real-world applications. Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. The role of self-adaptive control parameters in DE is investigated in Chapter 3. Chapters 4 and 5 address constrained optimization; the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions. A novel DE algorithm, based on the concept of "opposite" points, is the topic of Chapter 6. Chapter 7 provides a survey of multi-objective differential evolution algorithms. A review of the major application areas of differential evolution is presented in Chapter 8. Chapter 9 discusses the application of differential evolution in two important areas of applied electromagnetics. Chapters 10 and 11 focus on applications of hybrid DE algorithms to problems in power system optimization. Chapter 12 applies the DE algorithm to computer chess. The use of DE to solve a problem in bioprocess engineering is discussed in Chapter 13. Chapter 14 describes the application of hybrid differential evolution to a problem in control engineering.

Evolutionary Algorithms in Management Applications

Jörg Biethahn,Volker Nissen
Evolutionary Algorithms in Management Applications Book PDF

Author : Jörg Biethahn,Volker Nissen
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642612176

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Evolutionary Algorithms in Management Applications by Jörg Biethahn,Volker Nissen Pdf

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most well-known class of EA are Genetic Algorithms (GA), which have received much attention not only in the scientific community lately. Other variants of EA, in particular Genetic Programming, Evolution Strategies, and Evolutionary Programming are less popular, though very powerful too. Traditionally, most practical applications of EA have appeared in the technical sector. Management problems, for a long time, have been a rather neglected field of EA-research. This is surprising, since the great potential of evolutionary approaches for the business and economics domain was recognised in pioneering publications quite a while ago. John Holland, for instance, in his seminal book Adaptation in Natural and Artificial Systems (The University of Michigan Press, 1975) identified economics as one of the prime targets for a theory of adaptation, as formalised in his reproductive plans (later called Genetic Algorithms).

Search Methodologies

Edmund K. Burke,Graham Kendall
Search Methodologies Book PDF

Author : Edmund K. Burke,Graham Kendall
Publisher : Springer Science & Business Media
Page : 715 pages
File Size : 44,6 Mb
Release : 2013-10-18
Category : Business & Economics
ISBN : 9781461469407

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Search Methodologies by Edmund K. Burke,Graham Kendall Pdf

The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. “As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book’s subtitle, “Introductory Tutorials in Optimization and Decision Support Techniques”, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described.” Fred Glover, Leeds School of Business, University of Colorado Boulder, USA “[The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular.” Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences

Renewable Energy for Smart and Sustainable Cities

Mustapha Hatti
Renewable Energy for Smart and Sustainable Cities Book PDF

Author : Mustapha Hatti
Publisher : Springer
Page : 569 pages
File Size : 40,7 Mb
Release : 2018-11-23
Category : Technology & Engineering
ISBN : 9783030047894

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Renewable Energy for Smart and Sustainable Cities by Mustapha Hatti Pdf

This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

Recent Trends in Mathematical Modeling and High Performance Computing

Vinai K. Singh,Yaroslav D. Sergeyev,Andreas Fischer
Recent Trends in Mathematical Modeling and High Performance Computing Book PDF

Author : Vinai K. Singh,Yaroslav D. Sergeyev,Andreas Fischer
Publisher : Springer Nature
Page : 441 pages
File Size : 52,5 Mb
Release : 2021-08-23
Category : Mathematics
ISBN : 9783030682811

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Recent Trends in Mathematical Modeling and High Performance Computing by Vinai K. Singh,Yaroslav D. Sergeyev,Andreas Fischer Pdf

This volume explores the connections between mathematical modeling, computational methods, and high performance computing, and how recent developments in these areas can help to solve complex problems in the natural sciences and engineering. The content of the book is based on talks and papers presented at the conference Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), held at Inderprastha Engineering College in Ghaziabad, India in January 2020. A wide range of both theoretical and applied topics are covered in detail, including the conceptualization of infinity, efficient domain decomposition, high capacity wireless communication, infectious disease modeling, and more. These chapters are organized around the following areas: Partial and ordinary differential equations Optimization and optimal control High performance and scientific computing Stochastic models and statistics Recent Trends in Mathematical Modeling and High Performance Computing will be of interest to researchers in both mathematics and engineering, as well as to practitioners who face complex models and extensive computations.

New Optimization Algorithms in Physics

Alexander K. Hartmann,Heiko Rieger
New Optimization Algorithms in Physics Book PDF

Author : Alexander K. Hartmann,Heiko Rieger
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 40,5 Mb
Release : 2006-03-06
Category : Science
ISBN : 9783527604579

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New Optimization Algorithms in Physics by Alexander K. Hartmann,Heiko Rieger Pdf

Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Since the number of such algorithms is steadily increasing, many new algorithms have not been presented comprehensively until now. This presentation of recently developed algorithms applied in physics, including demonstrations of how they work and related results, aims to encourage their application, and as such the algorithms selected cover concepts and methods from statistical physics to optimization problems emerging in theoretical computer science.