Pensum -10%
Hopp til hovedinnholdet
Flexible and Generalized Uncertainty Optimization
Av Luiz L. Salles-Neto, Weldon A. Lodwick, 2021.Del av serien Studies in Computational Intelligence.
Theory and Approaches
This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and are more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of the associated optimization model in detail. Written for graduate students and professionals in the broad field of optimization and operations research, this second edition has been revised and extended to include more worked examples and a section on interval multi-objective mini-max regret theory along with its solution method.
Språk: Engelsk
Normalpris: 1 079,-
971,-
Spar 108,-
Laveste pris siste 30 dager: 1 068,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
Flexible and Generalized Uncertainty Optimization
Av Luiz L. Salles-Neto, Weldon A. Lodwick, 2021.Del av serien Studies in Computational Intelligence.
Theory and Approaches
This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and are more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of the associated optimization model in detail. Written for graduate students and professionals in the broad field of optimization and operations research, this second edition has been revised and extended to include more worked examples and a section on interval multi-objective mini-max regret theory along with its solution method.
Normalpris: 1 079,-
971,-
Spar 108,-
Laveste pris siste 30 dager: 1 068,-
Språk: Engelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
971,-
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
