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Evolutionary Computation in Dynamic and Uncertain Environments - Shengxiang Yang (Editor), Yaochu Jin (Editor), Yew-Soon Ong (Editor)
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ISBN: 9783642080654

ID: 9783642080654

Evolutionary computation is a class of problem optimization methodology with the inspiration from the natural evolution of species. In nature, the population of a species evolves by means of selection and variation. These two principles of natural evolution form the fundamental of evolutionary - gorithms (EAs). During the past several decades, EAs have been extensively studied by the computer science and arti?cial intelligence communities. As a Evolutionary computation is a class of problem optimization methodology with the inspiration from the natural evolution of species. In nature, the population of a species evolves by means of selection and variation. These two principles of natural evolution form the fundamental of evolutionary - gorithms (EAs). During the past several decades, EAs have been extensively studied by the computer science and arti?cial intelligence communities. As a classofstochasticoptimizationtechniques, EAscanoftenoutperformclassical optimization techniques for di?cult real world problems. Due to the ease of use and robustness, EAs have been applied to a wide variety of optimization problems. Most of these optimization problems ta- led are stationary and deterministic. However, many real-world optimization problems are subjected to dynamic and uncertain environments that are often impossible to avoid in practice. For example, the? tness function is uncertain or noisy as a result of simulation errors, measurement errors or approximation errors. In addition, the design variables or environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the objective of the EA is no longer to simply locate the global optimum solution, but to continuously track the optimum in dynamic en- ronments, or to? nd a robust solution that operates optimally in the presence of uncertainties. This poses serious challenges to classical optimization te- niques and conventional EAs as well. However, conventional EAs with proper enhancements are still good tools of choice for optimization problems in - namic and uncertain environments. Textbooks New, Books~~Mathematics~~Applied, Evolutionary-Computation-in-Dynamic-and-Uncertain-Environments~~Shengxiang-Yang, 999999999, Evolutionary Computation in Dynamic and Uncertain Environments, Shengxiang Yang (Editor), Yaochu Jin (Editor), Yew-Soon Ong (Editor), 3642080650, Springer Berlin Heidelberg, , , , , Springer Berlin Heidelberg

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Evolutionary Computation in Dynamic and Uncertain Environments - Herausgegeben von Yang, Shengxiang Ong, Yew-Soon Jin, Yaochu
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Herausgegeben von Yang, Shengxiang Ong, Yew-Soon Jin, Yaochu:

Evolutionary Computation in Dynamic and Uncertain Environments - Taschenbuch

2010, ISBN: 9783642080654

[ED: Softcover], [PU: Springer, Berlin], This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.2010. xxiii, 605 S. 89 Tabellen,. 235 mmVersandfertig in 3-5 Tagen, [SC: 0.00]

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Herausgegeben von Yang, Shengxiang Ong, Yew-Soon Jin, Yaochu:
Evolutionary Computation in Dynamic and Uncertain Environments - Taschenbuch

2010

ISBN: 9783642080654

[ED: Softcover], [PU: Springer, Berlin], This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.2010. XXIV, 605 S. 272 SW-Abb., 89 Tabellen. 235 mmVersandfertig in 3-5 Tagen, [SC: 0.00]

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Evolutionary Computation in Dynamic and Uncertain Environments - Shengxiang Yang; Yew-Soon Ong; Yaochu Jin
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Evolutionary Computation in Dynamic and Uncertain Environments - Erstausgabe

2010, ISBN: 9783642080654

Taschenbuch, Gebundene Ausgabe, ID: 15154586

[ED: 1], 1., Softcover reprint of hardcover 1st ed. 2007, Softcover, Buch, [PU: Springer Berlin]

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Shengxiang Yang; Yew-Soon Ong; Yaochu Jin:
Evolutionary Computation in Dynamic and Uncertain Environments - Taschenbuch

2010, ISBN: 9783642080654

Gebundene Ausgabe, ID: 15154586

Softcover reprint of hardcover 1st ed. 2007, Softcover, Buch, [PU: Springer Berlin]

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Evolutionary Computation in Dynamic and Uncertain Environments
Autor:

Herausgegeben von Yang, Shengxiang Ong, Yew-Soon Jin, Yaochu

Titel:

Evolutionary Computation in Dynamic and Uncertain Environments

ISBN-Nummer:

9783642080654

This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Detailangaben zum Buch - Evolutionary Computation in Dynamic and Uncertain Environments


EAN (ISBN-13): 9783642080654
ISBN (ISBN-10): 3642080650
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
632 Seiten
Gewicht: 0,941 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 04.05.2011 02:43:23
Buch zuletzt gefunden am 06.06.2015 13:44:18
ISBN/EAN: 9783642080654

ISBN - alternative Schreibweisen:
3-642-08065-0, 978-3-642-08065-4

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