Multi-Objective Stochastic Programming in Fuzzy Environments, Animesh Biswas, Arnab Kumar De

Автор: Masatoshi Sakawa; Hitoshi Yano; Ichiro Nishizaki
Название: Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
ISBN: 1461493986 ISBN-13(EAN): 9781461493983
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This self-contained book offers comprehensive coverage of linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, with applications in purchase and transportation planning for food retailing.

Автор: Mehrdad Tamiz
Название: Multi-Objective Programming and Goal Programming
ISBN: 3540606629 ISBN-13(EAN): 9783540606628
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Most real-life problems involve making decisions to optimally achieve a number of criteria while satisfying some hard or soft constraints. The book also contains a number of very interesting application papers which demonstrate theoretical modelling, analysing and solution of real-life problems.

Автор: Urmila Diwekar; Amy David
Название: BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
ISBN: 1493922815 ISBN-13(EAN): 9781493922819
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems.

Автор: Andr?s Pr?kopa
Название: Stochastic Programming
ISBN: 0792334825 ISBN-13(EAN): 9780792334828
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. This book offers a comprehensive introduction to the field and its basic mathematical tools.

Автор: Karl Frauendorfer
Название: Stochastic Two-Stage Programming
ISBN: 3540560971 ISBN-13(EAN): 9783540560975
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Stochastic Programming offers models and methods fordecision problems wheresome of the data are uncertain. In these models the objective function isgiven as an integral, whose integrand depends on a randomvector, on its probability measure and on a decision.

Автор: Kurt Marti; Peter Kall
Название: Stochastic Programming
ISBN: 3540589961 ISBN-13(EAN): 9783540589969
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Proceedings of the 2nd GAMM/IFIP-Workshop on "Stochastic Optimization:Numerical Methods and Technical Applications" held at the Federal Armed Forces University, Munich, Neubiberg/Munchen, Germany, June 15-17, 1993

Автор: Kurt Marti; Peter Kall
Название: Stochastic Programming Methods and Technical Applications
ISBN: 3540639241 ISBN-13(EAN): 9783540639244
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Optimization problems arising in practice usually contain several random parameters. The original problem with random parameters must be replaced by an appropriate deterministic substitute problem, and efficient numerical solution or approximation techniques have to be developed for those problems.

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

Автор: Peter Kall; J?nos Mayer
Название: Stochastic Linear Programming
ISBN: 1461427452 ISBN-13(EAN): 9781461427452
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Authored by two of the field`s most prominent researchers, this new edition has been comprehensively updated, with new material on contemporary models and methods including stochastic DEA models, material on Sharpe-ratio, and asset liability management.