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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 136 pages. 9.25x6.10x0.39 inches. In Stock.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2011
ISBN 10: 9814282669 ISBN 13: 9789814282666
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2011
ISBN 10: 9814282669 ISBN 13: 9789814282666
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 138,78
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Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2011
ISBN 10: 9814282669 ISBN 13: 9789814282666
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EUR 147,55
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2011
ISBN 10: 9814282669 ISBN 13: 9789814282666
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 146,50
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 174,48
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EUR 195,46
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Editore: World Scientific Pub Co Inc, 2011
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Da: Revaluation Books, Exeter, Regno Unito
EUR 188,13
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Aggiungi al carrelloHardcover. Condizione: Brand New. illustrated edition. 359 pages. 9.25x6.25x1.00 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 222,68
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EUR 241,23
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EUR 218,41
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 248,81
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EUR 249,72
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Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Theory of Evolutionary Computation | Recent Developments in Discrete Optimization | Benjamin Doerr (u. a.) | Taschenbuch | Natural Computing Series | xii | Englisch | 2020 | Springer | EAN 9783030294168 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Buchpark, Trebbin, Germania
EUR 178,88
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 532 | Sprache: Englisch | Produktart: Bücher | This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influencesperformance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming.Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030294161 ISBN 13: 9783030294168
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 235,39
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics.It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influencesperformance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming.Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030294137 ISBN 13: 9783030294137
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 235,39
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics.It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influencesperformance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming.Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 3030294161 ISBN 13: 9783030294168
Da: Revaluation Books, Exeter, Regno Unito
EUR 344,81
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Aggiungi al carrelloPaperback. Condizione: Brand New. 506 pages. 9.25x6.10x1.26 inches. In Stock.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2019
ISBN 10: 3030294137 ISBN 13: 9783030294137
Da: Revaluation Books, Exeter, Regno Unito
EUR 346,91
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Aggiungi al carrelloHardcover. Condizione: Brand New. 518 pages. 9.25x6.10x9.21 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 69,36
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 134.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 70,92
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 134.