9783030294137 - theory of evolutionary computation: recent developments in discrete optimization (17 risultati)
Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: Buchpark, Trebbin, , GermaniaBuchpark
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Condizione: 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 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. 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 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 518 pages. 9.25x6.10x9.21 inches. In Stock.
Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condizione: gut. 2019. Theory of Evolutionary Computation In deutscher Sprache. pages.
Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Many advances have been made in this field in the last ten yearsConcise summary of the state of the art for graduate students and researchers Book covers the development of more powerful methods, the solution of long…standing open problems, and th.
Lingua: Inglese
Editore: Springer International Publishing Dez 2019 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 analysi…s 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. 532 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Dez 2019 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 532 pp. Englisch.
Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer 2019
Serie: Natural Computing, Libro 31 di 32. Libro 31 di 32 - Natural Computing
- Rilegato
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
