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Verlag: World Scientific Publishing Co Pte Ltd, 1991
ISBN 10: 9810202172 ISBN 13: 9789810202170
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Sprache: Englisch
Verlag: World Scientific Publishing Company, 1991
ISBN 10: 9810202172 ISBN 13: 9789810202170
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Sprache: Englisch
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Sprache: Englisch
Verlag: Springer Berlin / Heidelberg, 1994
ISBN 10: 3540584846 ISBN 13: 9783540584841
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Sprache: Englisch
Verlag: Springer Berlin / Heidelberg, 1994
ISBN 10: 3540584846 ISBN 13: 9783540584841
Anbieter: Better World Books, Mishawaka, IN, USA
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Taschenbuch. Zustand: Neu. Parallel Problem Solving from Nature - PPSN III | International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9 - 14, 1994. Proceedings | Yuval Davidor (u. a.) | Taschenbuch | xvii | Englisch | 1994 | Springer | EAN 9783540584841 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994.With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.
Zustand: Gut. Zustand: Gut | Seiten: 664 | Sprache: Englisch | Produktart: Bücher | This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994.With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.