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Verlag: Springer Verlag, New York, 2005
ISBN 10: 3540272372 ISBN 13: 9783540272373
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Very Good. No Jacket. Hardcover 2005 library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Covers and text in very good condition. Series: Lecture Notes in Computer Science ;3469. [x, 314 p. : ill. ; 24 cm].
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In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Verlag: Springer Berlin Heidelberg, 2005
ISBN 10: 3540272372 ISBN 13: 9783540272373
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 303 pages. 9.25x6.10x0.72 inches. In Stock.
Verlag: Springer Berlin Heidelberg, 2005
ISBN 10: 3540272372 ISBN 13: 9783540272373
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The8thWorkshopontheFoundationsofGeneticAlgorithms,FOGA-8,washeld at the University of Aizu in Aizu-Wakamatsu City, Japan, January 5-9, 2005. This series of workshops was initiated in 1990 to encourage further research on the theoretical aspects of genetic algorithms, and the workshops have been held biennially ever since. The papers presented at these workshops are revised, edited and published as volumes during the year following each workshop. This series of (now eight) volumes provides an outstanding source of reference for the theoretical work in this eld. At the same time this series of volumes provides a clear picture of how the theoretical research has grown and matured along with the eld to encompass many evolutionary computation paradigms including evolution strategies (ES), evolutionary programming (EP), and genetic programming (GP), as well as the continuing growthininteractionswith other elds suchas mathematics,physics, and biology. Atraditionoftheseworkshopsisorganizetheminsuchawayastoencourage lots of interaction and discussion by restricting the number of papers presented and the number of attendees, and by holding the workshop in a relaxed and informal setting. This year's workshop was no exception. Thirty-two researchers met for 3 days to present and discuss 16 papers. The local organizer was Lothar Schmitt who, together with help and support from his university, provided the workshop facilities. Aftertheworkshopwasover,theauthorsweregiventheopportunitytorevise their papers based on the feedback they received from the other participants.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This IMA Volume in Mathematics and its Applications EVOLUTIONARY ALGORITHMS is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on 'MATHEMATICS IN HIGH-PERFORMANCE COMPUTING.' I thank Lawrence David Davis (Tica Associates), Kenneth De Jong (Computer Science, George Mason University), Michael D. Vose (Computer Science, The University of Tennessee), and L. Darrell Whitley (Computer Science, Colorado State University) for their excellent work in organizing the workshop and for editing the proceedings. Further appreciation is ex tended to Donald G. Truhlar (Chemistry and Supercomputing Institute, University of Minnesota) who was also one of the workshop organizers. In addition, I also take this opportunity to thank the National Science Foundation (NSF), Minnesota Supercomputing Institute (MSI), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr., Professor and Director v PREFACE The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers working in the area of Evolutionary Com putation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists a variety of subfields such as genetic algorithms, evolution strate gies, evolutionary programming, and genetic programming, each with their own algorithmic perspectives and goals.
Verlag: Springer Berlin Heidelberg, 2005
ISBN 10: 3540272372 ISBN 13: 9783540272373
Sprache: Englisch
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In den WarenkorbZustand: New. The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers in the area of Evolutionary Computation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years an.
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In den WarenkorbHardcover. Zustand: Brand New. 293 pages. 9.50x6.50x0.75 inches. In Stock.
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In den WarenkorbBuch. Zustand: Neu. Neuware - The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers in the area of Evolutionary Computation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists of a variety of subfields such as genetic algorithms, evolution strategies, evolutionary programming, and genetic programming, each with its own algorithmic perspectives and goals. The workshop did a great deal to clarify the current state of the theory of Evolutionary Algorithms. The existing theory might be characterized as deriving from two principal approaches. There is a high level macro-theory that looks at the processing of 'building blocks' and 'schemata' that are shared by many good solutions when searching a problem space. There is also a low level micro-theory that builds exact Markov models of the search process. It is sometimes hard for researchers working at such different levels of abstraction to interact. The IMA workshop allowed researchers working at these different levels to present their points of view and to move toward common ground. There was real progress in communication between theorists and practitioners in the evolutionary computation field. Speakers presented applications across a wide range of problem areas. In some of those cases, theoretically motivated methods work quite well. In other cases, practitioners used domain-based methods to obtain better performance than could be achieved by using a 'pure' evolutionary algorithm. Individuals on both sides went away with a better appreciation of the successes and failures of current theory. TOC:Foreword.- Preface.- Genetic algorithms as multi-coordinators in large-scale optimization.- Telecommunication network optimization with genetic algorithms: A decade of practice.- Using evolutionary algorithms to search for control parameters in a nonlinear partial differential equation.- Applying genetic algorithms to real-world problems. An overview of evolutionary programming.- A hierarchical genetic algorithm for system identification and curve fitting with a supercomputer implementation.- Experiences with the PGAPack parallel genetic algorithm library.- The significance of the evaluation function in evolutionary algorithms.- Genetic algorithm optimization of atomic clusters.- Search, binary representations and counting optima.- An investigation of GA performance results for different cardinality alphabets.- Genetic algorithms and the design of experiments.- Efficient parameter optimization based on combination of direct global and local search methods.- What are genetic algorithms A mathematical perspective.- Survey of projects involving evolutionary algorithms sponsored by the Electric Power Research Institute.