Solving Network Design Problems via Decomposition, Aggregation and Approximation
Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
1129023064
Solving Network Design Problems via Decomposition, Aggregation and Approximation
Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
54.99 In Stock
Solving Network Design Problems via Decomposition, Aggregation and Approximation

Solving Network Design Problems via Decomposition, Aggregation and Approximation

by Andreas Bïrmann
Solving Network Design Problems via Decomposition, Aggregation and Approximation

Solving Network Design Problems via Decomposition, Aggregation and Approximation

by Andreas Bïrmann

Paperback(1st ed. 2016)

$54.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
    Not Eligible for Free Shipping
  • PICK UP IN STORE

    Unavailable at Glendora.

Related collections and offers


Overview

Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.

Product Details

ISBN-13: 9783658139124
Publisher: Springer Fachmedien Wiesbaden
Publication date: 06/03/2016
Edition description: 1st ed. 2016
Pages: 203
Product dimensions: 6.61(w) x 9.45(h) x (d)
From the B&N Reads Blog

Customer Reviews