1 edition of Success in Evolutionary Computation found in the catalog.
Success in Evolutionary Computation
|Statement||edited by Ang Yang, Yin Shan, Lam Thu Bui|
|Series||Studies in Computational Intelligence -- 92|
|Contributions||Bui, Lam Thu, Shan, Yin, SpringerLink (Online service)|
|The Physical Object|
|Format||[electronic resource] /|
|ISBN 10||9783540762850, 9783540762867|
- Buy Evolutionary Computation – A Unified Approach (OIP) book online at best prices in India on Read Evolutionary Computation – A Unified Approach (OIP) book reviews & author details and more at Free delivery on qualified orders.5/5(2). This page lists all known authored books and edited books on evolutionary computation (not counting conference proceedings books).Other pages contains list of Conference Proceedings Books on Genetic Programming and Conference Proceedings Books on Evolutionary Computation. Please send errors, omissions, or additions to [email protected] 16 Authored Books and 4 Videotapes on .
A clear and comprehensive introduction to the field of evolutionary computation that takes an integrated approach. Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists/5. Book Abstract: Featuring copious introductory material by distinguished scientist Dr. David B. Fogel, this formidable collection of 30 landmark papers spans the entire history of evolutionary computation--from today's investigations back to its very origins more than 40 years ago. Chapter by chapter, Fogel highlights how early ideas have developed into current thinking and how others have been.
Evolutionary computation is an artificial intelligence subfield and closely linked to computational intelligence, involving lots of combinatorial optimization problems and continuous optimization. It is employed in problem-solving systems that use computational models with evolutionary processes as the key design elements. It is an abstraction. This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to .
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There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, which have been used in a diverse range of highly successful.
Success in Evolutionary Computation. Springer. hardcover. New. Success in Evolutionary Computation (Studies in Computational Intelligence) by YIN SHAN, LAM THU BUI GANG YAN ISBN ISBN x.
The greatest success in protein folding studies is achieved when use can be made of the known structure of a homologous protein (i.e., one similar in structure) via common evolutionary descent. and addresses in particular the use of evolutionary computation-based approaches to clustering, inlcuding k-means, This book offers a definitive.
Evolutionary Computation (EC) includes a number of techniques such as Genetic Algorithms which have been used in a diverse range of highly Successful book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and.
Evolutionary Computation is a leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming.
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/5(15).
This book constitutes the refereed conference proceedings of the 21st International Conference on the Applications of Evolutionary Computation, EvoApplicationsheld in Parma, Italy, in Aprilcollocated with the Evo* events EuroGP, EvoCOP, and : Springer International Publishing.
The MIT Press is a leading publisher of books and journals at the intersection of science, technology, and the arts. Redundant Representations in Evolutionary Computation Franz Rothlauf and David E. Goldberg. Posted Online Ma Redundant Representations in Evolutionary ComputationCited by: of evolutionary programming also remains an area of active research (see, for example, Fogel and Atmar ).
Together, evolution strategies, evolutionary programming, and genetic algorithms form the backbone of the field of evolutionary computation. Several other people working in the s and the s developed evolution−inspired. I have read some excellent books and survey papers describing particular domains of the evolutionary computation field, but this book try to give us a "Unified Approach" of this field.
I find very interesting the author's idea to model the evolutionary process with a dynamic (nonlinear!)system so that " given particular initial conditions the /5(4). 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 ionary Computation presents the basic principles of evolutionary. 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 Author: Ingo Wegener.
Adaptation of a success story in GAs: estimation-of-distribution algorithms for tree-based optimization problems / P.A.N. Bosman, E.D. de Jong --The automated design of artificial neural networks using evolutionary computation / J.-Y. Jung, J.A. Reggia --A versatile surrogate-assisted memetic algorithm for optimization of computationally.
A clear and comprehensive introduction to the field of evolutionary computation that takes an integrated approach. Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing.
Evolutionary Computation Technical Committee Governance. Under the supervision and the coordination of the IEEE CIS Technical Activities Committee, The Evolutionary Computation Technical Committee (ECTC) is established to promote the research, development, and teaching of computational techniques that use non-deterministic methods to adapt their behavior over time.
AlphaStar: an evolutionary computation perspective. has shown great success in increasingly complex single-agent environments and two-player turn-based games. The book will be suitable for.
Book Description. Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications.
Covering both the theory and applications of evolutionary computation, the book. Fogel is a prolific author in evolutionary computation, having published over 50 journal papers, as well as conference publications, 20 contributions in book chapters, two videos, four computer games, and six books—most recently, Blondie Playing at the Edge of AI (Morgan Kaufmann, Historians will also find thebook thoroughly book belongs on the shelf of not only every contributor to evolutionary computation, but to all those who are involved with the more general frontiers of computer science as well as the even broader.
"Parallel Evolutionary Computation" focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.
The book is divided into four parts. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques, details working principles of new and popular evolutionary algorithms, and discusses case studies on both scientific and real-world applications of optimizationCited by: 5.
Evolution has provided a source of inspiration for algorithm designers since the birth of computers. The resulting field, evolutionary computation, has been Cited by: Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms.
It publishes advanced, innovative and interdisciplinary research involving the.