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Книга Recoverable Robustness in Combinatorial Optimization Christina Büsing

Recoverable Robustness in Combinatorial Optimization

Автор: Christina Büsing
Език: Английски език
Корици: С меки корици
Издател: Cuvillier Verlag
Наличност: Външен склад
Изпращаме след 8-11 дни
25.46 € 49.80 лв
Combinatorial optimization is an important tool for solving optimization problems from industry like...

Информация за книгата

Автор
Christina Büsing
Език
Английски език
Корици
Книга - С меки корици
Издадена
2011
страници
166
EAN
9783869557717
ISBN
3869557710
Enbook ID
12738723
Издател
Cuvillier Verlag
Теглоt
224
Размери
148 x 210 x 9

Пълно описание

Combinatorial optimization is an important tool for solving optimization problems from industry like vehicle routing, network design or production scheduling. To define such an optimization problem, data concerning the cost, the constraints on the solutions or the topology of the networks ar assumed to be known. However, these data can often only be estimated based on imprecise measuring methods or predictions of future events (development of the stock markets. change of weather conditions, variations in traffic volume). In several applications, average values from historical data adjusted by some anticipated changes are used to determine the problem setting. An attractive approach for dealing with these variations in data is to include different data sets into the optimization process. Many researchers have selected a scenario approach, where each scenario represents a reasonable data set. Depending on the considered setting and the available information, such a set of data sets is equipped with a probability distribution to reflect the likelihoods of the scenarios.

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