Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series)

Bartz-Beielstein, Thomas

ISBN 10: 3642068731 ISBN 13: 9783642068737

Editorial: Springer, 2010

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The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples. Summarizing results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences, is suitable for practitioners and researchers and also for lecturers and students. The text is supplemented online with downloads and exercises.

Rese�a del editor: 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.

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T�tulo: Experimental Research in Evolutionary ...
Editorial: Springer
A�o de publicaci�n: 2010
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Condici�n: New

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Experimental Research in Evolutionary Computation (eng)

Bartz-Beielstein, Thomas

Publicado por Springer, 2010

ISBN 10: 3642068731 ISBN 13: 9783642068737

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Experimental Research in Evolutionary Computation

Thomas Bartz-Beielstein

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ISBN 10: 3642068731 ISBN 13: 9783642068737

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. There are no directly competing books that combine modern statistical approaches and evolutionary computing approaches in the design of experiments and the solution to optimization problems, and the author is very well positioned to address this gap given h. N� de ref. del art�culo: 5045962

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Experimental Research in Evolutionary Computation | The New Experimentalism

Thomas Bartz-Beielstein

Publicado por Springer, 2010

ISBN 10: 3642068731 ISBN 13: 9783642068737

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Experimental Research in Evolutionary Computation : The New Experimentalism

Bartz-beielstein, Thomas

Publicado por Springer, 2010

ISBN 10: 3642068731 ISBN 13: 9783642068737

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Experimental Research in Evolutionary Computation : The New Experimentalism

Thomas Bartz-Beielstein

Publicado por Springer Berlin Heidelberg, 2010

ISBN 10: 3642068731 ISBN 13: 9783642068737

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises. N� de ref. del art�culo: 9783642068737

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Experimental Research in Evolutionary Computation

Thomas Bartz-Beielstein

Publicado por Springer, Springer Nov 2010, 2010

ISBN 10: 3642068731 ISBN 13: 9783642068737

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples. Summarizing results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences, is suitable for practitioners and researchers and also for lecturers and students. The text is supplemented online with downloads and exercises.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch. N� de ref. del art�culo: 9783642068737

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Experimental Research in Evolutionary Computation

Thomas Bartz-Beielstein

Publicado por Springer Berlin Heidelberg Nov 2010, 2010

ISBN 10: 3642068731 ISBN 13: 9783642068737

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 232 pp. Englisch. N� de ref. del art�culo: 9783642068737

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