Multilevel Optimization: Algorithms and Applications: Algorithms and Applications (Nonconvex Optimization and Its Applications)

ISBN 10: 146137989X ISBN 13: 9781461379898

Editorial: Springer, 2011

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Researchers working with nonlinear programming often claim "the word is non� linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer� tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar� chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar� chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti� mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level).

Rese�a del editor: Researchers working with nonlinear programming often claim "the word is non� linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer� tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar� chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar� chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti� mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level).

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T�tulo: Multilevel Optimization: Algorithms and ...
Editorial: Springer
A�o de publicaci�n: 2011
Encuadernaci�n: Encuadernaci�n de tapa blanda
Condici�n: New

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Multilevel Optimization: Algorithms and Applications

Migdalas, A.|Pardalos, Panos M.|V�rbrand, Peter

Publicado por Springer US, 2011

ISBN 10: 146137989X ISBN 13: 9781461379898

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Multilevel Optimization: Algorithms and Applications

A. Migdalas (u. a.)

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Multilevel Optimization: Algorithms and Applications: Algorithms and Applications (Nonconvex Optimization and Its Applications)

Publicado por Springer, 2011

ISBN 10: 146137989X ISBN 13: 9781461379898

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Multilevel Optimization: Algorithms and Applications

A. Migdalas

Publicado por Springer US, Springer New York Sep 2011, 2011

ISBN 10: 146137989X ISBN 13: 9781461379898

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Researchers working with nonlinear programming often claim 'the word is non linear' indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch. N� de ref. del art�culo: 9781461379898

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Multilevel Optimization: Algorithms and Applications

A. Migdalas

Publicado por Springer US Sep 2011, 2011

ISBN 10: 146137989X ISBN 13: 9781461379898

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Researchers working with nonlinear programming often claim 'the word is non linear' indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level). 412 pp. Englisch. N� de ref. del art�culo: 9781461379898

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Multilevel Optimization: Algorithms and Applications

A. Migdalas

Publicado por Springer US, Springer New York, 2011

ISBN 10: 146137989X ISBN 13: 9781461379898

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - Researchers working with nonlinear programming often claim 'the word is non linear' indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level). N� de ref. del art�culo: 9781461379898

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