GECCO-2002

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Author :
Publisher : Morgan Kaufmann
ISBN 13 :
Total Pages : 1448 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis GECCO-2002 by : William B. Langdon

Download or read book GECCO-2002 written by William B. Langdon and published by Morgan Kaufmann. This book was released on 2002 with total page 1448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Grammatical Evolution

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Author :
Publisher : Springer
ISBN 13 : 3319787179
Total Pages : 497 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Grammatical Evolution by : Conor Ryan

Download or read book Handbook of Grammatical Evolution written by Conor Ryan and published by Springer. This book was released on 2018-09-11 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials

Genetic Programming Theory and Practice II

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387232540
Total Pages : 330 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Genetic Programming Theory and Practice II by : Una-May O'Reilly

Download or read book Genetic Programming Theory and Practice II written by Una-May O'Reilly and published by Springer Science & Business Media. This book was released on 2006-03-16 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants.

Genetic Programming Theory and Practice

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Publisher : Springer Science & Business Media
ISBN 13 : 1441989838
Total Pages : 322 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Genetic Programming Theory and Practice by : Rick Riolo

Download or read book Genetic Programming Theory and Practice written by Rick Riolo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.

Knowledge Incorporation in Evolutionary Computation

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Publisher : Springer
ISBN 13 : 3540445110
Total Pages : 543 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Knowledge Incorporation in Evolutionary Computation by : Yaochu Jin

Download or read book Knowledge Incorporation in Evolutionary Computation written by Yaochu Jin and published by Springer. This book was released on 2013-04-22 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Logical Aspects of Computational Linguistics

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540657514
Total Pages : 710 pages
Book Rating : 4.6/5 (575 download)

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Book Synopsis Logical Aspects of Computational Linguistics by : Alain Lecomte

Download or read book Logical Aspects of Computational Linguistics written by Alain Lecomte and published by Springer Science & Business Media. This book was released on 1999-03-17 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Logical Aspects of Computational Linguistics, LACL '97, held in Nancy, France in September 1997. The 10 revised full papers presented were carefully selected during two rounds of reviewing. Also included are two comprehensive invited papers. Among the topics covered are type theory, various types of grammars, linear logic, parsing, type-directed natural language processing, proof-theoretic aspects, concatenation logics, and mathematical languages.

Applications of Evolutionary Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 3540213783
Total Pages : 582 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Applications of Evolutionary Computing by : Günther Raidl

Download or read book Applications of Evolutionary Computing written by Günther Raidl and published by Springer Science & Business Media. This book was released on 2004-03-25 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of six workshops on evolutionary computing, EvoWorkshops 2004, held together with EuroGP 2004 and EvoCOP 2004 in Coimbra, Portugal, in April 2004. The 55 revised full papers presented were carefully reviewed and selected from a total of 123 submissions. In accordance with the six workshops covered, the papers are organized in topical sections on evolutionary bioinformatics; evolutionary computing in communications, networks, and connected systems; hardware optimization techniques; evolutionary computing in image analysis and signal processing; evolutionary music and art; and evolutionary algorithms in stochastic and dynamic environments.

Knowledge-Based Intelligent Information and Engineering Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540232052
Total Pages : 962 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Mircea Gh. Negoita

Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Mircea Gh. Negoita and published by Springer Science & Business Media. This book was released on 2004-09-20 with total page 962 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004. The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.

Experimental Research in Evolutionary Computation

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Publisher : Springer Science & Business Media
ISBN 13 : 354032027X
Total Pages : 221 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Experimental Research in Evolutionary Computation by : Thomas Bartz-Beielstein

Download or read book Experimental Research in Evolutionary Computation written by Thomas Bartz-Beielstein and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.

Computational Science and Its Applications -- ICCSA 2013

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Publisher : Springer
ISBN 13 : 3642396437
Total Pages : 743 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computational Science and Its Applications -- ICCSA 2013 by : Beniamino Murgante

Download or read book Computational Science and Its Applications -- ICCSA 2013 written by Beniamino Murgante and published by Springer. This book was released on 2013-06-22 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam, in June 2013. Apart from the general track, ICCSA 2013 also include 33 special sessions and workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. There are 46 papers from the general track, and 202 in special sessions and workshops.

Evolutionary Multi-Criterion Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3540018697
Total Pages : 825 pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Carlos M. Fonseca

Download or read book Evolutionary Multi-Criterion Optimization written by Carlos M. Fonseca and published by Springer Science & Business Media. This book was released on 2003-04-07 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, EMO 2003, held in Faro, Portugal, in April 2003. The 56 revised full papers presented were carefully reviewed and selected from a total of 100 submissions. The papers are organized in topical sections on objective handling and problem decomposition, algorithm improvements, online adaptation, problem construction, performance analysis and comparison, alternative methods, implementation, and applications.

Evolutionary Computation in Dynamic and Uncertain Environments

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Publisher : Springer Science & Business Media
ISBN 13 : 3540497722
Total Pages : 614 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Evolutionary Computation in Dynamic and Uncertain Environments by : Shengxiang Yang

Download or read book Evolutionary Computation in Dynamic and Uncertain Environments written by Shengxiang Yang and published by Springer Science & Business Media. This book was released on 2007-03-07 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Genetic Programming Theory and Practice III

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Publisher : Springer Science & Business Media
ISBN 13 : 0387281118
Total Pages : 321 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Genetic Programming Theory and Practice III by : Tina Yu

Download or read book Genetic Programming Theory and Practice III written by Tina Yu and published by Springer Science & Business Media. This book was released on 2006-06-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.

Evolutionary Computation in Practice

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Publisher : Springer Science & Business Media
ISBN 13 : 3540757708
Total Pages : 328 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Computation in Practice by : Tina Yu

Download or read book Evolutionary Computation in Practice written by Tina Yu and published by Springer Science & Business Media. This book was released on 2008-01-04 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.

Evolutionary Algorithms for Solving Multi-Objective Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 0387332545
Total Pages : 810 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello

Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2007-09-18 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Genetic Programming Theory and Practice XI

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Publisher : Springer Science & Business Media
ISBN 13 : 1493903756
Total Pages : 234 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Genetic Programming Theory and Practice XI by : Rick Riolo

Download or read book Genetic Programming Theory and Practice XI written by Rick Riolo and published by Springer Science & Business Media. This book was released on 2014-04-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Grammatical Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 1461504473
Total Pages : 157 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Grammatical Evolution by : Michael O'Neill

Download or read book Grammatical Evolution written by Michael O'Neill and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.