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Optimization Theory: Recent Developments from Mátraháza (Applied Optimization, 59)
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Optimization Theory: Recent Developments from Mátraháza (Applied Optimization)
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Optimization Theory : Recent Developments from Matrahaza
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Paperback. Condition: Brand New. reprint edition. 278 pages. 9.45x6.30x0.66 inches. In Stock.
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Taschenbuch. Condition: Neu. Optimization Theory | Recent Developments from Mátraháza | F. Giannessi (u. a.) | Taschenbuch | Applied Optimization | viii | Englisch | 2011 | Springer | EAN 9781461379836 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments (Springer Optimization and Its Applications, 16)
Book 12 of 176: Springer Optimization and Its ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Optimization Theory : Recent Developments from Mátraháza
Language: English
Published by Springer US, Springer US, 2011
ISBN 10: 1461379830 ISBN 13: 9781461379836
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains refereed papers based on the lectures presented at the XIV International Conference on Mathematical Programming held at Matrahaza, Hungary, between 27-31 March 1999. This conference was organized by the Laboratory of Operations Research and Deci sion Systems at the Computer and Automation Institute, Hungarian Academy of Sciences. The editors hope this volume will contribute to the theory and applications of mathematical programming. As a tradition of these events, the main purpose of the confer ence was to review and discuss recent advances and promising research trends concerning theory, algorithms and applications in different fields of Optimization Theory and related areas such as Convex Analysis, Complementarity Systems and Variational Inequalities. The conference is traditionally held in the Matra Mountains, and housed by the resort house of the Hungarian Academy of Sciences. This was the 14th event of the long lasting series of conferences started in 1973. The organizers wish to express their thanks to the authors for their contributions in this volume, and the anonymous referees for their valu able comments. Special thanks are directed to our sponsors, the Hun garian Academy of Sciences, the National Committee for Technological Development, the Hungarian National Science Foundation, and last but not least, the Hungarian Operational Research Society. We would like to thank John Martindale from Kluwer Academic Publishers for helping us produce this volume, Eva Nora Nagy for cor rections and proof-readings, and Peter Dombi for his excellent work on typesetting and editing the manuscript.
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Optimization Theory : Recent Developments from Matrahaza
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Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments (Springer Optimization and Its Applications, 16)
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Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series)
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Theory of Evolutionary Computation: Recent Developments in Discrete Optimization (Natural Computing Series)
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Theory of Evolutionary Computation : Recent Developments in Discrete Optimization
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Theory of Evolutionary Computation : Recent Developments in Discrete Optimization
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Taschenbuch. Condition: 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.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Condition: 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.
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Theory of Evolutionary Computation : Recent Developments in Discrete Optimization
Book 31 of 32: Natural ComputingLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030294161 ISBN 13: 9783030294168
Taschenbuch. Condition: 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.
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Theory of Evolutionary Computation : Recent Developments in Discrete Optimization
Book 31 of 32: Natural ComputingLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030294137 ISBN 13: 9783030294137
Buch. Condition: 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.
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Theory of Evolutionary Computation: Recent Developments in Discrete Optimization
Book 31 of 32: Natural ComputingLanguage: English
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030294161 ISBN 13: 9783030294168
Paperback. Condition: Brand New. 506 pages. 9.25x6.10x1.26 inches. In Stock.
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Theory of Evolutionary Computation: Recent Developments in Discrete Optimization
Book 31 of 32: Natural ComputingLanguage: English
Published by Springer-Nature New York Inc, 2019
ISBN 10: 3030294137 ISBN 13: 9783030294137
Hardcover. Condition: Brand New. 518 pages. 9.25x6.10x9.21 inches. In Stock.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume contains refereed papers based on the lectures presented at the XIV International Conference on Mathematical Programming held at Matrahaza, Hungary, between 27-31 March 1999. This conference was organized by the Laboratory of Operations Research.
