Multiple Criteria Optimization

Name: Multiple Criteria Optimization
Brand: Springer-Verlag New York Inc.
SKU: 9781402071287
Price: 178.32 EUR
Availability: InStock

State of the Art Annotated Bibliographic Surveys

Автор: Matthias Ehrgott, Xavier Gandibleux

Език:

Корици: С твърди корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад в ограничено количество

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178.32 € 348.76 лв

With the ever rapidly increasing rate of publications in the area and the development of subfields,...

Информация за книгата

Автор

Matthias Ehrgott, Xavier Gandibleux

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2002

страници

496

EAN

9781402071287

ISBN

1402071280

Enbook ID

01417778

Издател

Springer-Verlag New York Inc.

Теглоt

958

Размери

168 x 241 x 34

Пълно описание

With the ever rapidly increasing rate of publications in the area and the development of subfields, these were mostly devoted to particular aspects of multicriteria optimization: Multiobjective Integer Programming, Multi-objective Combinatorial Optimization, Vector Optimization, Multiobjective Evolutionary Methods, Applications of MCDM, MCDM Software, Goal Programming. Hence the need for a comprehensive overview of the literature in multicriteria optimization that could serve as a state of the art survey and guide to the vast amount of publications. Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys is precisely this book. Experts in various areas of multicriteria optimization have contributed to the volume. The chapters in this book roughly follow a thread from most general to more specific. Some of them are about particular types of problems (Theory of Vector Optimization, Nonlinear Multiobjective Programming, Fuzzy Multiobjective Programming, Multiobjective Combinatorial Optimization, Multicriteria Scheduling Problems), while the others are focused on multi-objective methodologies (Goal Programming, Interactive Methods, Evolutionary Algorithms, Data Envelopment Analysis). All contributing authors invested great effort to produce comprehensive overviews and bibliographies and to have references that are as precise as possible.

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Multiple Criteria Optimization

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