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Könyv Multiple Criteria Optimization Xavier Gandibleux

Multiple Criteria Optimization

State of the Art Annotated Bibliographic Surveys

Szerző: Xavier Gandibleux
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer-Verlag New York Inc.
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 13-18 napon belül
62 070 Ft
With the ever rapidly increasing rate of publications in the area and the development of subfields,...

Információk a könyvről

Szerző
Xavier Gandibleux
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2013
oldal
496
EAN
9781475776621
ISBN
1475776624
Enbook ID
02181742
Kiadó
Springer-Verlag New York Inc.
Súly
795
Méretek
155 x 235 x 29

Teljes leírás

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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