Linkage In Evolutionary Computation

Download Linkage In Evolutionary Computation full books in PDF, epub, and Kindle. Read online Linkage In Evolutionary Computation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Exploitation of Linkage Learning in Evolutionary Algorithms

Author : Ying-ping Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3642128343
Total Pages : 246 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Exploitation of Linkage Learning in Evolutionary Algorithms by : Ying-ping Chen

Download or read book Exploitation of Linkage Learning in Evolutionary Algorithms written by Ying-ping Chen and published by Springer Science & Business Media. This book was released on 2010-04-16 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.

Linkage in Evolutionary Computation

Author : Ying-ping Chen
Publisher : Springer
ISBN 13 : 3540850686
Total Pages : 488 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Linkage in Evolutionary Computation by : Ying-ping Chen

Download or read book Linkage in Evolutionary Computation written by Ying-ping Chen and published by Springer. This book was released on 2008-09-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.

Linkage in Evolutionary Computation

Author : Ying-ping Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3540850678
Total Pages : 487 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Linkage in Evolutionary Computation by : Ying-ping Chen

Download or read book Linkage in Evolutionary Computation written by Ying-ping Chen and published by Springer Science & Business Media. This book was released on 2008-09-26 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.

Evolutionary Computation and Complex Networks

Author : Jing Liu
Publisher : Springer
ISBN 13 : 3319600001
Total Pages : 148 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Computation and Complex Networks by : Jing Liu

Download or read book Evolutionary Computation and Complex Networks written by Jing Liu and published by Springer. This book was released on 2018-09-22 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

Extending the Scalability of Linkage Learning Genetic Algorithms

Author : Ying-ping Chen
Publisher : Springer Science & Business Media
ISBN 13 : 9783540284598
Total Pages : 152 pages
Book Rating : 4.2/5 (845 download)

DOWNLOAD NOW!

Book Synopsis Extending the Scalability of Linkage Learning Genetic Algorithms by : Ying-ping Chen

Download or read book Extending the Scalability of Linkage Learning Genetic Algorithms written by Ying-ping Chen and published by Springer Science & Business Media. This book was released on 2006 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage problem. The linkage learning genetic algorithm (LLGA) was proposed to tackle the linkage problem with several specially designed mechanisms. While the LLGA performs much better on badly scaled problems than simple GAs, it does not work well on uniformly scaled problems as other competent GAs. Therefore, we need to understand why it is so and need to know how to design a better LLGA or whether there are certain limits of such a linkage learning process. This book aims to gain better understanding of the LLGA in theory and to improve the LLGA's performance in practice. It starts with a survey of the existing genetic linkage learning techniques and describes the steps and approaches taken to tackle the research topics, including using promoters, developing the convergence time model, and adopting subchromosomes.

Genetic And Evolutionary Computation- GECCO 2004

Author : GECCO
Publisher : Springer Science & Business Media
ISBN 13 : 3540223436
Total Pages : 1485 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Genetic And Evolutionary Computation- GECCO 2004 by : GECCO

Download or read book Genetic And Evolutionary Computation- GECCO 2004 written by GECCO and published by Springer Science & Business Media. This book was released on 2004-10-12 with total page 1485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

Genetic and Evolutionary Computation - GECCO 2003

Author : Erick Cantú-Paz
Publisher : Springer
ISBN 13 : 3540451056
Total Pages : 1256 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Genetic and Evolutionary Computation - GECCO 2003 by : Erick Cantú-Paz

Download or read book Genetic and Evolutionary Computation - GECCO 2003 written by Erick Cantú-Paz and published by Springer. This book was released on 2003-08-03 with total page 1256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.

Theoretical Aspects of Evolutionary Computing

Author : Leila Kallel
Publisher : Springer Science & Business Media
ISBN 13 : 366204448X
Total Pages : 495 pages
Book Rating : 4.6/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Theoretical Aspects of Evolutionary Computing by : Leila Kallel

Download or read book Theoretical Aspects of Evolutionary Computing written by Leila Kallel and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the first week of September 1999, the Second EvoNet Summer School on Theoretical Aspects of Evolutionary Computing was held at the Middelheim cam pus of the University of Antwerp, Belgium. Originally intended as a small get together of PhD students interested in the theory of evolutionary computing, the summer school grew to become a successful combination of a four-day workshop with over twenty researchers in the field and a two-day lecture series open to a wider audience. This book is based on the lectures and workshop contributions of this summer school. Its first part consists of tutorial papers which introduce the reader to a num ber of important directions in the theory of evolutionary computing. The tutorials are at graduate level andassume only a basic backgroundin mathematics and com puter science. No prior knowledge ofevolutionary computing or its theory is nec essary. The second part of the book consists of technical papers, selected from the workshop contributions. A number of them build on the material of the tutorials, exploring the theory to research level. Other technical papers may require a visit to the library.

Genetic and Evolutionary Computation — GECCO 2003

Author : Erick Cantú-Paz
Publisher : Springer
ISBN 13 : 3540451102
Total Pages : 1280 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Genetic and Evolutionary Computation — GECCO 2003 by : Erick Cantú-Paz

Download or read book Genetic and Evolutionary Computation — GECCO 2003 written by Erick Cantú-Paz and published by Springer. This book was released on 2003-08-03 with total page 1280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based software engineering.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

Author : Oliver Schütze
Publisher : Springer Science & Business Media
ISBN 13 : 3642315194
Total Pages : 508 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II by : Oliver Schütze

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II written by Oliver Schütze and published by Springer Science & Business Media. This book was released on 2012-08-14 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.

Evolutionary Computation

Author : D. Dumitrescu
Publisher : CRC Press
ISBN 13 : 1482273969
Total Pages : 424 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Computation by : D. Dumitrescu

Applications of Evolutionary Computation

Author : Stephen Smith
Publisher : Springer Nature
ISBN 13 : 3031568559
Total Pages : 422 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Applications of Evolutionary Computation by : Stephen Smith

Download or read book Applications of Evolutionary Computation written by Stephen Smith and published by Springer Nature. This book was released on with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Incorporation in Evolutionary Computation

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

DOWNLOAD NOW!

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.

Evolutionary Computation 1

Author : Thomas Baeck
Publisher : CRC Press
ISBN 13 : 148226871X
Total Pages : 378 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Computation 1 by : Thomas Baeck

Download or read book Evolutionary Computation 1 written by Thomas Baeck and published by CRC Press. This book was released on 2018-10-03 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of evolutionary computation is expanding dramatically, fueled by the vast investment that reflects the value of applying its techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to-date information on algorithms and operators used in evolutionary computing. This volume discusses the basic ideas that underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by individual researchers, teachers, and students working and studying in this expanding field.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III

Author : Oliver Schuetze
Publisher : Springer
ISBN 13 : 3319014609
Total Pages : 259 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III by : Oliver Schuetze

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III written by Oliver Schuetze and published by Springer. This book was released on 2013-07-23 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal.

Compositional Evolution

Author : Richard A. Watson
Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Compositional Evolution by : Richard A. Watson

Download or read book Compositional Evolution written by Richard A. Watson and published by . This book was released on 2006 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Compositional Evolution, Richard Watson uses the tools of computer science and computational biology to show that certain mechanisms of genetic variation (such as sex, gene transfer, and symbiosis) allowing the combination of preadapted genetic material enable an evolutionary process, compositional evolution, that is algorithmically distinct from the Darwinian gradualist framework."--Jacket.

Evolutionary Computation

Author : D. Dumitrescu
Publisher : CRC Press
ISBN 13 : 9780849305887
Total Pages : 424 pages
Book Rating : 4.3/5 (58 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Computation by : D. Dumitrescu

Download or read book Evolutionary Computation written by D. Dumitrescu and published by CRC Press. This book was released on 2000-06-22 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.