Genetic and Evolutionary Computing

This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019.

Genetic and Evolutionary Computing

Author: Jeng-Shyang Pan

Publisher: Springer

ISBN: 9789811533075

Page: 589

View: 606

This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches with a focus on evolutionary computing. Today, it is a forum for the researchers and professionals in all areas of computational intelligence including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security. The book appeals to policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, and other professionals in the learning industry, and further and continuing education.

Introduction to Evolutionary Computing

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 Computing

Author: A.E. Eiben

Publisher: Springer Science & Business Media

ISBN: 9783540401841

Page: 300

View: 893

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 Computing

Proceeding of the Eighth International Conference on Genetic and Evolutionary
Computing, October 18-20, 2014, Nanchang, China Hui Sun, Chin-Yu Yang,
Chun-Wei Lin, Jeng-Shyang Pan, Vaclav Snasel, Ajith Abraham.

Genetic and Evolutionary Computing

Author: Hui Sun

Publisher: Springer

ISBN: 331912286X

Page: 428

View: 795

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at ICGEC 2014, the 8th International Conference on Genetic and Evolutionary Computing. The conference this year was technically co-sponsored by Nanchang Institute of Technology in China, Kaohsiung University of Applied Science in Taiwan, and VSB-Technical University of Ostrava. ICGEC 2014 is held from 18-20 October 2014 in Nanchang, China. Nanchang is one of is the capital of Jiangxi Province in southeastern China, located in the north-central portion of the province. As it is bounded on the west by the Jiuling Mountains, and on the east by Poyang Lake, it is famous for its scenery, rich history and cultural sites. Because of its central location relative to the Yangtze and Pearl River Delta regions, it is a major railroad hub in Southern China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.

Genetic and Evolutionary Computation GECCO 2003

Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16
, 2003 : Proceedings Ill.) Genetic and Evolutionary Computation Conference (5th
: 2003 : Chicago, GECCO Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, ...

Genetic and Evolutionary Computation  GECCO 2003

Author: Erick Cantú-Paz

Publisher: Springer Science & Business Media

ISBN: 3540406026

Page: 2520

View: 690

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.

Genetic And Evolutionary Computation GECCO 2004

Genetic And Evolutionary Computation Conference, Seattle, Wa, Usa, June 26-
30, 2004, Proceedings GECCO Kalyanmoy Deb, Wolfgang Banzhaf, Riccardo
Poli, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta,
Dario ...

Genetic And Evolutionary Computation  GECCO 2004

Author: Kalyanmoy Deb

Publisher: Springer Science & Business Media

ISBN: 3540223436

Page: 1445

View: 688

MostMOEAsuseadistancemetricorothercrowdingmethodinobjectivespaceinorder to maintain diversity for the non-dominated solutions on the Pareto optimal front. By ensuring diversity among the non-dominated solutions, it is possible to choose from a variety of solutions when attempting to solve a speci?c problem at hand. Supposewehavetwoobjectivefunctionsf (x)andf (x).Inthiscasewecande?ne 1 2 thedistancemetricastheEuclideandistanceinobjectivespacebetweentwoneighboring individuals and we thus obtain a distance given by 2 2 2 d (x, x )= f (x )?f (x )] + f (x )?f (x )] . (1) 1 2 1 1 1 2 2 1 2 2 f wherex andx are two distinct individuals that are neighboring in objective space. If 1 2 2 2 the functions are badly scaled, e.g. ?f (x)] ?f (x)], the distance metric can be 1 2 approximated to 2 2 d (x, x )? f (x )?f (x )] . (2) 1 2 1 1 1 2 f Insomecasesthisapproximationwillresultinanacceptablespreadofsolutionsalong the Pareto front, especially for small gradual slope changes as shown in the illustrated example in Fig. 1. 1.0 0.8 0.6 0.4 0.2 0 0 20 40 60 80 100 f 1 Fig.1.Forfrontswithsmallgradualslopechangesanacceptabledistributioncanbeobtainedeven if one of the objectives (in this casef ) is neglected from the distance calculations. 2 As can be seen in the ?gure, the distances marked by the arrows are not equal, but the solutions can still be seen to cover the front relatively well.

Genetic and Evolutionary Computation GECCO 2004

Genetic and Evolutionary Computation Conference Seattle, WA, USA, June 26–
30, 2004, Proceedings Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-
Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano,
 ...

Genetic and Evolutionary Computation     GECCO 2004

Author: Kalyanmoy Deb

Publisher: Springer Science & Business Media

ISBN: 3540223444

Page: 1448

View: 117

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

Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16
, 2003 Proceedings Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb,
Lawrence David Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer,
Russel ...

Genetic and Evolutionary Computation     GECCO 2003

Author: Erick Cantú-Paz

Publisher: Springer Science & Business Media

ISBN: 3540406034

Page: 1280

View: 494

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.

Genetic and Evolutionary Computation

Genetic and evolutionary computation (GEC) is now attracting considerable
interest, since the first algorithms were developed some 30 years ago. Although
often regarded as a theoretical pursuit, research and development of a wide
range of ...

Genetic and Evolutionary Computation

Author: Stephen L. Smith

Publisher: John Wiley & Sons

ISBN: 1119956781

Page: 250

View: 762

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.

Representations for Genetic and Evolutionary Algorithms

... researchers in the field of management science, information systems, business
informatics, and computer science is to ... systems that solve these complex
problems, researchers proposed using genetic and evolutionary algorithms (
GEAs).

Representations for Genetic and Evolutionary Algorithms

Author: Franz Rothlauf

Publisher: Springer Science & Business Media

ISBN: 9783540324447

Page: 325

View: 630

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given. This book breaks with this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-readable style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.

Advances in Evolutionary Computing

11. 12. 13. 14. 15. 16. 17. 18. the Fourth International Conference on
Evolutionary Computation, 603-608 . Bean, J. C. (1994) Genetic algorithms and
random keys for sequencing and optimization. ORSA Journal on Computing, 6(c,
154–160 .

Advances in Evolutionary Computing

Author: Ashish Ghosh

Publisher: Springer Science & Business Media

ISBN: 3642189652

Page: 1006

View: 140

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.

Evolutionary Computer Music

In Lecture Notes in Computer Science, 2611, Springer-Verlag, Heidelberg, pp.
522–534. Marques, M., Oliveira, V., Vieira, S. and Rosa, A.C. (2000). Music
composition using genetic evolutionary algorithms. InProceedings of the IEEE ...

Evolutionary Computer Music

Author: Eduardo R. Miranda

Publisher: Springer Science & Business Media

ISBN: 184628600X

Page: 259

View: 167

This book discusses the applications of evolutionary computation to music and the tools needed to create and study such systems. These tools can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed. The book demonstrates that evolutionary systems can be used to create and to study musical compositions and cultures in ways that have never before been achieved.

Applications of Evolutionary Computing

This stage aims to reduce the dimension of the initial problem by eliminating
gene redundancy. This stage is basically composed of four steps. First, the gene
expression levels are transformed into fuzzy subsets with Gaussian
representations.

Applications of Evolutionary Computing

Author: Franz Rothlauf

Publisher: Springer Science & Business Media

ISBN: 3540332375

Page: 813

View: 498

EvoWorkshops 2006, of which this volume contains the proceedings, was held in Budapest, Hungary, on April 10–12, 2006, jointly with EuroGP 2006 and EvoCOP 2006.

Applications of Evolutionary Computing

Camacho, F., Manrique, D., Rodriguez-Paton, A.: Designing radial basis function
networks with genetic algorithms. In: IASTED International conference artificial
intelligence and soft computing, September 2004, vol. 451(8), pp. 398–403 (2004
) ...

Applications of Evolutionary Computing

Author: Mario Giacobini

Publisher: Springer

ISBN: 3540787615

Page: 704

View: 933

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 simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and machine learning. A large and continuously increasing number of researchers and prof- sionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and - spire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2008, which consisted of a range of workshops on application-oriented aspects of EC. Since 1998, EvoWorkshops has provided a unique opportunity for EC researchers to meet and discuss applicationaspectsofECandhasservedasanimportantlink between EC research and its application in a variety of domains. During these ten years new workshops have arisen, some have disappeared, while others have matured to become conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO last year.

Genetic Algorithms and Application in Examination Scheduling

Genetic algorithms are a part of evolutionary computing, which is a rapidly
growing area of artificial intelligence. As we can guess, genetic algorithms are
inspired by Darwin's theory about evolution. Simply said, solution to a problem
solved by ...

Genetic Algorithms and Application in Examination Scheduling

Author: Dang Xuan Tho

Publisher: GRIN Verlag

ISBN: 3640637011

Page: 76

View: 735

Scholarly Research Paper from the year 2009 in the subject Computer Science - Applied, language: English, abstract: Abstract In this thesis, we present an introduction about genetic algorithms (GAs). Genetic algorithms are not too hard to program or understand, since they are biologically based. This thesis also shows scheduling problems, expecially examination scheduling problems. We provide a way that can be easily used to apply the evolutionary principle to the problem solutions. Furthermore, these are the program's applications in reality as well as in science. Keyword: Genetic Algorithms, Scheduling Problems, Examination Scheduling Problems.