Applications Of Evolutionary Computing

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Applications of Evolutionary Computation

Paul Kaufmann (Computer scientist),Pedro A. Castillo
Applications of Evolutionary Computation Book PDF

Author : Paul Kaufmann (Computer scientist),Pedro A. Castillo
Publisher : Unknown
Page : 642 pages
File Size : 42,6 Mb
Release : 2019
Category : Evolutionary computation
ISBN : 3030166937

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Applications of Evolutionary Computation by Paul Kaufmann (Computer scientist),Pedro A. Castillo Pdf

This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoMUSART. The 44 revised full papers presented were carefully reviewed and selected from 66 submissions. They were organized in topical sections named: Engineering and Real World Applications; Games; General; Image and Signal Processing; Life Sciences; Networks and Distributed Systems; Neuroevolution and Data Analytics; Numerical Optimization: Theory, Benchmarks, and Applications; Robotics. --

Advances in Evolutionary Computing

Ashish Ghosh,Shigeyoshi Tsutsui
Advances in Evolutionary Computing Book PDF

Author : Ashish Ghosh,Shigeyoshi Tsutsui
Publisher : Springer Science & Business Media
Page : 1042 pages
File Size : 45,8 Mb
Release : 2002-11-26
Category : Computers
ISBN : 3540433309

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Advances in Evolutionary Computing by Ashish Ghosh,Shigeyoshi Tsutsui Pdf

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Applications of Evolutionary Computing

Stefano Cagnoni,Jens Gottlieb,Emma Hart,Martin Middendorf,Günther R. Raidl
Applications of Evolutionary Computing Book PDF

Author : Stefano Cagnoni,Jens Gottlieb,Emma Hart,Martin Middendorf,Günther R. Raidl
Publisher : Springer
Page : 346 pages
File Size : 42,9 Mb
Release : 2003-07-31
Category : Computers
ISBN : 9783540460046

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Applications of Evolutionary Computing by Stefano Cagnoni,Jens Gottlieb,Emma Hart,Martin Middendorf,Günther R. Raidl Pdf

This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.

Evolutionary Algorithms and Neural Networks

Seyedali Mirjalili
Evolutionary Algorithms and Neural Networks Book PDF

Author : Seyedali Mirjalili
Publisher : Springer
Page : 156 pages
File Size : 40,8 Mb
Release : 2018-06-26
Category : Technology & Engineering
ISBN : 9783319930251

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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.

Evolutionary Algorithms in Engineering Applications

Dipankar Dasgupta,Zbigniew Michalewicz
Evolutionary Algorithms in Engineering Applications Book PDF

Author : Dipankar Dasgupta,Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 561 pages
File Size : 54,6 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662034231

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Evolutionary Algorithms in Engineering Applications by Dipankar Dasgupta,Zbigniew Michalewicz Pdf

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

Introduction to Evolutionary Computing

Agoston E. Eiben,J.E. Smith
Introduction to Evolutionary Computing Book PDF

Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 49,9 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941

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Introduction to Evolutionary Computing by Agoston E. Eiben,J.E. Smith Pdf

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Genetic and Evolutionary Computation

Stephen L. Smith,Stefano Cagnoni
Genetic and Evolutionary Computation Book PDF

Author : Stephen L. Smith,Stefano Cagnoni
Publisher : John Wiley & Sons
Page : 249 pages
File Size : 41,8 Mb
Release : 2011-07-26
Category : Science
ISBN : 9781119956785

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Genetic and Evolutionary Computation by Stephen L. Smith,Stefano Cagnoni Pdf

Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals. There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but to date no text that introduces evolutionary computation in a medical context. By explaining the basic introductory theory, typical application areas and detailed implementation in one coherent volume, this book will appeal to a wide audience from software developers to medical scientists. Centred around a set of nine case studies on the application of GEC to different areas of medicine, the book offers an overview of applications of GEC to medicine, describes applications in which GEC is used to analyse medical images and data sets, derive advanced models, and suggest diagnoses and treatments, finally providing hints about possible future advancements of genetic and evolutionary computation in medicine. Explores the rapidly growing area of genetic and evolutionary computation in context of its viable and exciting payoffs in the field of medical applications. Explains the underlying theory, typical applications and detailed implementation. Includes general sections about the applications of GEC to medicine and their expected future developments, as well as specific sections on applications of GEC to medical imaging, analysis of medical data sets, advanced modelling, diagnosis and treatment. Features a wide range of tables, illustrations diagrams and photographs.

Evolutionary Computation: Theory and Applications

Xin Yao
Evolutionary Computation Theory and Applications Book PDF

Author : Xin Yao
Publisher : World Scientific
Page : 376 pages
File Size : 48,5 Mb
Release : 1999-11-22
Category : Computers
ISBN : 9789814518161

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Evolutionary Computation: Theory and Applications by Xin Yao Pdf

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting. Contents:Introduction (X Yao)Evolutionary Computation in Behavior Engineering (M Colombetti & M Dorigo)A General Method for Incremental Self-Improvement and Multi-Agent Learning (J Schmidhuber)Teacher: A Genetics-Based System for Learning and for Generalizing Heuristics (B W Wah & A Ieumwananonthachai)Automatic Discovery of Protein Motifs Using Genetic Programming (J R Koza & D Andre)The Role of Self Organization in Evolutionary Computations (A C Tsoi & J Shaw)Virus-Evolutionary Genetic Algorithm and Its Application to Traveling Salesman Problem (T Fukuda et al.)Hybrid Evolutionary Optimization Algorithm for Constrained Problems (J-H Kim & H Myung)CAM-BRAIN — The Evolutionary Engineering of a Billion Neuron Artificial Brain (H de Garis)An Evolutionary Approach to the N-Player Iterated Prisoner's Dilemma Game (X Yao & Darwen) Readership: Graduate students, practitioners and researchers in engineering and electronics and computer science. keywords:Genetic Algorithms;Evolutionary Computation;Evolutionary Algorithms;Genetic Programming;Evolutionary Robotics;Global Optimization;Evolutionary Games;Global Optimization;Machine Learning;Artificial Intelligence

Applications of Evolutionary Computation

Pedro A. Castillo,Juan Luis Jiménez Laredo,Francisco Fernández de Vega
Applications of Evolutionary Computation Book PDF

Author : Pedro A. Castillo,Juan Luis Jiménez Laredo,Francisco Fernández de Vega
Publisher : Springer
Page : 704 pages
File Size : 43,5 Mb
Release : 2020-03-11
Category : Computers
ISBN : 3030437213

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Applications of Evolutionary Computation by Pedro A. Castillo,Juan Luis Jiménez Laredo,Francisco Fernández de Vega Pdf

This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP. The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.​

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

Chis, Monica
Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques Book PDF

Author : Chis, Monica
Publisher : IGI Global
Page : 282 pages
File Size : 52,8 Mb
Release : 2010-06-30
Category : Education
ISBN : 9781615208104

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Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques by Chis, Monica Pdf

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

Evolutionary Computation for Modeling and Optimization

Daniel Ashlock
Evolutionary Computation for Modeling and Optimization Book PDF

Author : Daniel Ashlock
Publisher : Springer Science & Business Media
Page : 572 pages
File Size : 45,9 Mb
Release : 2006-04-04
Category : Computers
ISBN : 9780387319094

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Evolutionary Computation for Modeling and Optimization by Daniel Ashlock Pdf

Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Evolutionary Computation

D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu
Evolutionary Computation Book PDF

Author : D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu
Publisher : CRC Press
Page : 424 pages
File Size : 40,9 Mb
Release : 2000-06-22
Category : Computers
ISBN : 0849305888

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Evolutionary Computation by D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu Pdf

Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation. Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses the (m+l) and (m,l) evolution strategy principles. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more.

Industrial Applications of Evolutionary Algorithms

Ernesto Sanchez,Giovanni Squillero,Alberto Tonda
Industrial Applications of Evolutionary Algorithms Book PDF

Author : Ernesto Sanchez,Giovanni Squillero,Alberto Tonda
Publisher : Springer Science & Business Media
Page : 130 pages
File Size : 47,5 Mb
Release : 2012-01-28
Category : Technology & Engineering
ISBN : 9783642274671

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Industrial Applications of Evolutionary Algorithms by Ernesto Sanchez,Giovanni Squillero,Alberto Tonda Pdf

"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems. The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject. After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation. The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.

Applications of Evolutionary Computing

Franz Rothlauf,Jürgen Branke,Stefano Cagnoni,David W. Corne,Rolf Drechsler,Yaochu Jin,Penousal Machado,Elena Marchiori,Juan Romero,George D. Smith,Giovanni Squillero
Applications of Evolutionary Computing Book PDF

Author : Franz Rothlauf,Jürgen Branke,Stefano Cagnoni,David W. Corne,Rolf Drechsler,Yaochu Jin,Penousal Machado,Elena Marchiori,Juan Romero,George D. Smith,Giovanni Squillero
Publisher : Springer
Page : 631 pages
File Size : 40,6 Mb
Release : 2005-03-31
Category : Computers
ISBN : 9783540320036

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Applications of Evolutionary Computing by Franz Rothlauf,Jürgen Branke,Stefano Cagnoni,David W. Corne,Rolf Drechsler,Yaochu Jin,Penousal Machado,Elena Marchiori,Juan Romero,George D. Smith,Giovanni Squillero Pdf

Evolutionary computation (EC) techniques are e?cient nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and the simple underlying principles, these methods can be used for a large number of problems in the context of problem solving,optimization,andmachinelearning. Alargeandcontinuouslyincreasing number of researchers and practitioners make use of EC techniques in many - plication domains. The book at hand presents a careful selection of relevant EC applications combined with thorough examinations of techniques for a successful application of EC. The presented papers illustrate the current state of the art in the application of EC and should help and inspire researchers and practitioners to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2005, which was a varying collection of workshops on application-oriented aspects of EC. Since 1999, the format of the EvoWorkshops has proved to be very successful and well representative of the advances in the application of EC. Consequently, over the last few years, EvoWorkshops has become one of the major events addressing the application of EC. In contrast to other large conferences in the EC ?eld, the EvoWorkshops focus solely on application aspects of EC and are an important link between EC research and the application of EC in a large variety of di?erent domains.

Applications of Multi-objective Evolutionary Algorithms

Carlos A. Coello Coello,Gary B. Lamont
Applications of Multi objective Evolutionary Algorithms Book PDF

Author : Carlos A. Coello Coello,Gary B. Lamont
Publisher : World Scientific
Page : 792 pages
File Size : 45,6 Mb
Release : 2004
Category : Computers
ISBN : 9789812561060

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Applications of Multi-objective Evolutionary Algorithms by Carlos A. Coello Coello,Gary B. Lamont Pdf

- Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains