Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach (International Series of Numerical Mathematics, 135)

Hillermeier, Claus

ISBN 10: 376436498X ISBN 13: 9783764364984

Editorial: Birkhäuser, 2001

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo: Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach (International Series of Numerical Mathematics, 135)
Editor: Birkh�user
Fecha de publicaci�n: 2001
Idioma: Ingl�s
ISBN 10: 376436498X
ISBN 13: 9783764364984
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

Arguably, many industrial optimization problems are of the multiobjective type. The present work, after providing a survey of the state of the art in multiobjective optimization, gives new insight into this important mathematical field by consequently taking up the viewpoint of differential geometry. This approach, unprecedented in the literature, very naturally results in a generalized homotopy method for multiobjective optimization which is theoretically well-founded and numerically efficient. The power of the new method is demonstrated by solving two real-life problems of industrial optimization.
The book presents recent results obtained by the author and is aimed at mathematicians, scientists, students and practitioners interested in optimization and numerical homotopy methods.

Rese�a del editor

Arguably, many industrial optimization problems are of the multiobjective type. The present work, after providing a survey of the state of the art in multiobjective optimization, gives new insight into this important mathematical field by consequently taking up the viewpoint of differential geometry. This approach, unprecedented in the literature, very naturally results in a generalized homotopy method for multiobjective optimization which is theoretically well-founded and numerically efficient. The power of the new method is demonstrated by solving two real-life problems of industrial optimization.
The book presents recent results obtained by the author and is aimed at mathematicians, scientists, students and practitioners interested in optimization and numerical homotopy methods.

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