Knowledge Incorporation In Evolutionary Computation

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Knowledge Incorporation in Evolutionary Computation

Yaochu Jin
Knowledge Incorporation in Evolutionary Computation Book PDF

Author : Yaochu Jin
Publisher : Springer
Page : 543 pages
File Size : 55,6 Mb
Release : 2013-04-22
Category : Mathematics
ISBN : 9783540445111

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Knowledge Incorporation in Evolutionary Computation by Yaochu Jin Pdf

Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.

Evolutionary Computation

Xin Yao
Evolutionary Computation Book PDF

Author : Xin Yao
Publisher : World Scientific
Page : 384 pages
File Size : 50,7 Mb
Release : 1999
Category : Science
ISBN : 9810223064

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Evolutionary Computation 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.

Applications of Evolutionary Computation

Giovanni Squillero,Kevin Sim
Applications of Evolutionary Computation Book PDF

Author : Giovanni Squillero,Kevin Sim
Publisher : Springer
Page : 905 pages
File Size : 43,8 Mb
Release : 2017-04-03
Category : Computers
ISBN : 9783319558493

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Applications of Evolutionary Computation by Giovanni Squillero,Kevin Sim Pdf

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Applications of Evolutionary Computation

Kevin Sim,Paul Kaufmann
Applications of Evolutionary Computation Book PDF

Author : Kevin Sim,Paul Kaufmann
Publisher : Springer
Page : 917 pages
File Size : 45,9 Mb
Release : 2018-03-07
Category : Computers
ISBN : 9783319775388

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Applications of Evolutionary Computation by Kevin Sim,Paul Kaufmann Pdf

This book constitutes the refereed conference proceedings of the 21st International Conference on the Applications of Evolutionary Computation, EvoApplications 2018, held in Parma, Italy, in April 2018, collocated with the Evo* 2018 events EuroGP, EvoCOP, and EvoMUSART. The 59 revised full papers presented were carefully reviewed and selected from 84 submissions. EvoApplications 2018 combined research from 14 different domains: business analytics and finance (EvoBAFIN); computational biology (EvoBIO); communication networks and other parallel and distributed systems (EvoCOMNET); complex systems (EvoCOMPLEX); energy-related optimization (EvoENERGY); games and multi-agent systems (EvoGAMES); image analysis, signal processing and pattern recognition (EvoIASP); realworld industrial and commercial environments (EvoINDUSTRY); knowledge incorporation in evolutionary computation (EvoKNOW); continuous parameter optimization (EvoNUM); parallel architectures and distributed infrastructures (EvoPAR); evolutionary robotics (EvoROBOT); nature-inspired algorithms in software engineering and testing (EvoSET); and stochastic and dynamic environments (EvoSTOC).

Applications of Evolutionary Computation

Giovanni Squillero,Kevin Sim
Applications of Evolutionary Computation Book PDF

Author : Giovanni Squillero,Kevin Sim
Publisher : Springer
Page : 243 pages
File Size : 42,8 Mb
Release : 2017-04-03
Category : Computers
ISBN : 9783319557922

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Applications of Evolutionary Computation by Giovanni Squillero,Kevin Sim Pdf

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh
Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases Book PDF

Author : Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh
Publisher : Springer Science & Business Media
Page : 169 pages
File Size : 54,5 Mb
Release : 2008-03-19
Category : Mathematics
ISBN : 9783540774662

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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases by Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh Pdf

The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.

Evolutionary Algorithms for Solving Multi-Objective Problems

Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Evolutionary Algorithms for Solving Multi Objective Problems Book PDF

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 51,5 Mb
Release : 2007-08-26
Category : Computers
ISBN : 9780387367972

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Evolutionary Computation

David B. Fogel
Evolutionary Computation Book PDF

Author : David B. Fogel
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 53,9 Mb
Release : 2006-01-03
Category : Technology & Engineering
ISBN : 9780471749202

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Evolutionary Computation by David B. Fogel Pdf

This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook.

Information Processing with Evolutionary Algorithms

Manuel Grana,Richard J. Duro,Alicia d'Anjou,Paul P. Wang
Information Processing with Evolutionary Algorithms Book PDF

Author : Manuel Grana,Richard J. Duro,Alicia d'Anjou,Paul P. Wang
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 43,7 Mb
Release : 2006-03-30
Category : Computers
ISBN : 9781846281174

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Information Processing with Evolutionary Algorithms by Manuel Grana,Richard J. Duro,Alicia d'Anjou,Paul P. Wang Pdf

Provides a broad sample of current information processing applications Includes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

Evolutionary Multiobjective Optimization

Ajith Abraham,Robert Goldberg
Evolutionary Multiobjective Optimization Book PDF

Author : Ajith Abraham,Robert Goldberg
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 52,7 Mb
Release : 2005-09-05
Category : Computers
ISBN : 9781846281372

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Evolutionary Multiobjective Optimization by Ajith Abraham,Robert Goldberg Pdf

Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.

Evolutionary Algorithms for Solving Multi-Objective Problems

Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Evolutionary Algorithms for Solving Multi Objective Problems Book PDF

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer
Page : 0 pages
File Size : 50,5 Mb
Release : 2008-11-01
Category : Computers
ISBN : 0387513086

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Multiobjective Evolutionary Algorithms and Applications

Kay Chen Tan,Eik Fun Khor,Tong Heng Lee
Multiobjective Evolutionary Algorithms and Applications Book PDF

Author : Kay Chen Tan,Eik Fun Khor,Tong Heng Lee
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 48,5 Mb
Release : 2005-05-04
Category : Computers
ISBN : 1852338369

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Multiobjective Evolutionary Algorithms and Applications by Kay Chen Tan,Eik Fun Khor,Tong Heng Lee Pdf

Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Evolutionary Computation

Fouad Sabry
Evolutionary Computation Book PDF

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 75 pages
File Size : 41,7 Mb
Release : 2023-07-01
Category : Computers
ISBN : PKEY:6610000472376

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Evolutionary Computation by Fouad Sabry Pdf

What Is Evolutionary Computation The term "evolutionary computation" refers to both a subfield of artificial intelligence and soft computing in the field of computer science that studies various optimization algorithms and a family of algorithms for global optimization that are inspired by biological evolution. They belong to a family of problem solvers known as population-based trial and error problem solvers, and they either have a metaheuristic or stochastic optimization flavor. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Evolutionary computation Chapter 2: Differential evolution Chapter 3: Dual-phase evolution Chapter 4: Evolutionary algorithm Chapter 5: Evolutionary programming Chapter 6: Neuroevolution Chapter 7: Evolutionary robotics Chapter 8: Grammatical evolution Chapter 9: Human-based evolutionary computation Chapter 10: Interactive evolutionary computation (II) Answering the public top questions about evolutionary computation. (III) Real world examples for the usage of evolutionary computation in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of evolutionary computation' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of evolutionary computation.

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 : 43,8 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.

Introduction To Evolutionary Informatics

Marks Ii Robert J,Dembski William A,Ewert Winston
Introduction To Evolutionary Informatics Book PDF

Author : Marks Ii Robert J,Dembski William A,Ewert Winston
Publisher : World Scientific
Page : 332 pages
File Size : 55,9 Mb
Release : 2017-02-27
Category : Computers
ISBN : 9789813142169

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Introduction To Evolutionary Informatics by Marks Ii Robert J,Dembski William A,Ewert Winston Pdf

Science has made great strides in modeling space, time, mass and energy. Yet little attention has been paid to the precise representation of the information ubiquitous in nature. Introduction to Evolutionary Informatics fuses results from complexity modeling and information theory that allow both meaning and design difficulty in nature to be measured in bits. Built on the foundation of a series of peer-reviewed papers published by the authors, the book is written at a level easily understandable to readers with knowledge of rudimentary high school math. Those seeking a quick first read or those not interested in mathematical detail can skip marked sections in the monograph and still experience the impact of this new and exciting model of nature's information. This book is written for enthusiasts in science, engineering and mathematics interested in understanding the essential role of information in closely examined evolution theory.