Evolutionary Algorithms In Intelligent Systems

Evolutionary Algorithms In Intelligent Systems Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Evolutionary Algorithms In Intelligent Systems book. This book definitely worth reading, it is an incredibly well-written.

Evolutionary Algorithms in Intelligent Systems

Author : Alfredo Milani,Arturo Carpi,Valentina Poggioni
Publisher : MDPI
Page : 144 pages
File Size : 53,9 Mb
Release : 2020-12-07
Category : Technology & Engineering
ISBN : 9783039436118

Get Book

Evolutionary Algorithms in Intelligent Systems by Alfredo Milani,Arturo Carpi,Valentina Poggioni Pdf

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

Evolutionary Computation with Intelligent Systems

Author : R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan
Publisher : CRC Press
Page : 325 pages
File Size : 47,7 Mb
Release : 2022-03-28
Category : Technology & Engineering
ISBN : 9781000550504

Get Book

Evolutionary Computation with Intelligent Systems by R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan Pdf

Offers fundamental theories and practical and more sophisticated applications of Evolutionary Computation in varied industries Provides insight into various platforms, paradigms, techniques, and tools used in Evolutionary Computation for diverse fields Presents an understanding related to optimization, performance tuning, virtualization, deployment models, and their applications Covers a variety of applications for social and essential models and is based on real life examples Useful for decision making based on optimized data through Evolutionary Computation in multi-dimensions

Evolutionary Algorithms in Intelligent Systems

Author : Alfredo Milani,Arturo Carpi,Valentina Poggioni
Publisher : Unknown
Page : 144 pages
File Size : 47,6 Mb
Release : 2020
Category : Electronic
ISBN : 3039436120

Get Book

Evolutionary Algorithms in Intelligent Systems by Alfredo Milani,Arturo Carpi,Valentina Poggioni Pdf

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Author : L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publisher : Springer
Page : 862 pages
File Size : 40,8 Mb
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 9788132221265

Get Book

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems by L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi Pdf

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Evolutionary Computation with Intelligent Systems

Author : R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan
Publisher : CRC Press
Page : 316 pages
File Size : 42,8 Mb
Release : 2022-03-29
Category : Technology & Engineering
ISBN : 9781000550542

Get Book

Evolutionary Computation with Intelligent Systems by R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan Pdf

This book focuses on cutting-edge innovations and core theories, principles, and algorithms applicable to a wide area. Real-life applications, case studies, and examples are included along with emerging trends, design, and optimized solutions pivoting around the needs of Society 5.0. Evolutionary Computation with Intelligent Systems: A Multidisciplinary Approach to Society 5.0 provides a holistic view of evolutionary computation techniques including principles, procedures, and future applications with real-life examples. The book comprehensively explains evolutionary computation, design, principles, development trends, and optimization and describes how it can transform the operating context of the organization. It exemplifies the potential of evolutionary computation for the next generation and the role of cloud computing in shaping Society 5.0. It also provides insight into various platforms, paradigms, techniques, and tools used in diverse fields. This book appeals to a variety of readers such as academicians, researchers, research scholars, and postgraduates.

Introduction to Evolutionary Algorithms

Author : Xinjie Yu,Mitsuo Gen
Publisher : Springer Science & Business Media
Page : 422 pages
File Size : 43,7 Mb
Release : 2010-06-10
Category : Computers
ISBN : 9781849961295

Get Book

Introduction to Evolutionary Algorithms by Xinjie Yu,Mitsuo Gen Pdf

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.

Evolutionary Algorithms and Neural Networks

Author : Seyedali Mirjalili
Publisher : Springer
Page : 156 pages
File Size : 40,7 Mb
Release : 2018-06-26
Category : Technology & Engineering
ISBN : 9783319930251

Get Book

Evolutionary Algorithms and Neural Networks by Seyedali Mirjalili Pdf

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.

Engineering Evolutionary Intelligent Systems

Author : Ajith Abraham,Crina Grosan,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 51,6 Mb
Release : 2008-01-03
Category : Computers
ISBN : 9783540753957

Get Book

Engineering Evolutionary Intelligent Systems by Ajith Abraham,Crina Grosan,Witold Pedrycz Pdf

This edited volume deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business and commerce. It comprises 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Intelligent Systems

Author : Vladimir M. Koleshko
Publisher : BoD – Books on Demand
Page : 382 pages
File Size : 49,7 Mb
Release : 2012-03-02
Category : Computers
ISBN : 9789535100546

Get Book

Intelligent Systems by Vladimir M. Koleshko Pdf

This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.

Evolutionary Robotics

Author : Lingfeng Wang,K. C. Tan,Chee Meng Chew
Publisher : World Scientific
Page : 267 pages
File Size : 41,5 Mb
Release : 2006
Category : Technology & Engineering
ISBN : 9789812773142

Get Book

Evolutionary Robotics by Lingfeng Wang,K. C. Tan,Chee Meng Chew Pdf

This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material. The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels. Sample Chapter(s). Chapter 1: Artificial Evolution Based Autonomous Robot Navigation (184 KB). Contents: Artificial Evolution Based Autonomous Robot Navigation; Evolvable Hardware in Evolutionary Robotics; FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution; Intelligent Sensor Fusion and Learning for Autonomous Robot Navigation; Task-Oriented Developmental Learning for Humanoid Robots; Bipedal Walking Through Reinforcement Learning; Swing Time Generation for Bipedal Walking Control Using GA Tuned Fuzzy Logic Controller; Bipedal Walking: Stance Ankle Behavior Optimization Using Genetic Algorithm. Readership: Researchers in evolutionary robotics, and graduate and advanced undergraduate students in computational intelligence.

Hybrid Artificial Intelligence Systems

Author : Emilio Corchado,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 785 pages
File Size : 43,9 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540876557

Get Book

Hybrid Artificial Intelligence Systems by Emilio Corchado,Ajith Abraham Pdf

This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008. The 93 papers presented, together with 4 invited talks, were carefully reviewed and selected from 280 submissions. The topics covered are agents and multi-agent systems; evolutionary computation; connectionist models; optimization sysetms; fuzzy logic systems; classification and classifiers; cluster analysis; video and image analysis; learning systems, algorithms and applications; hybrid systems based on negotiation and social network modelling; real world applications of HAIS under uncertainty; hybrid intelligent systems for multi-robot and multi-agent systems; applications of hybrid artificial intelligence in bioinformatics; and novel approaches to genetic fuzzy systems.

Computational Intelligence

Author : Christine L. Mumford
Publisher : Springer Science & Business Media
Page : 726 pages
File Size : 43,5 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642017995

Get Book

Computational Intelligence by Christine L. Mumford Pdf

This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Author : L Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publisher : Springer
Page : 873 pages
File Size : 43,9 Mb
Release : 2014-11-25
Category : Technology & Engineering
ISBN : 9788132221357

Get Book

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems by L Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi Pdf

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Fuzzy Evolutionary Computation

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 54,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461561354

Get Book

Fuzzy Evolutionary Computation by Witold Pedrycz Pdf

As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed algorithmic environment. Concisely speaking, Evolutionary Computing (EC) is aimed at a coherent population -oriented methodology of structural and parametric optimization of a diversity of systems. In addition to this broad spectrum of such optimization applications, this paradigm otTers an important ability to cope with realistic goals and design objectives reflected in the form of relevant fitness functions. The GA search (which is often regarded as a dominant domain among other techniques of EC such as evolutionary strategies, genetic programming or evolutionary programming) delivers a great deal of efficiency helping navigate through large search spaces. The main thrust of fuzzy sets is in representing and managing nonnumeric (linguistic) information. The key notion (whose conceptual as weH as algorithmic importance has started to increase in the recent years) is that of information granularity. It somewhat concurs with the principle of incompatibility coined by L. A. Zadeh. Fuzzy sets form a vehic1e helpful in expressing a granular character of information to be captured. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.

Advances in Evolutionary Computing for System Design

Author : Vasile Palade,Dipti Srinivasan
Publisher : Springer
Page : 326 pages
File Size : 47,5 Mb
Release : 2007-07-07
Category : Computers
ISBN : 9783540723776

Get Book

Advances in Evolutionary Computing for System Design by Vasile Palade,Dipti Srinivasan Pdf

Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book’s thirteen chapters cover a wide area of topics in evolutionary computing and applications, including an introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; and evolution of fuzzy controllers. The book will be useful to researchers in intelligent systems with interest in evolutionary computing, as well as application engineers and system designers.