Stochastic branch & bound applying target oriented branch & bound method to optimal scenario tree reduction

Publication: Working/Discussion PaperWU Working Paper

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Abstract

In this article a new branch & bound method is described. It uses an artificial target to improve its bounding capabilities. Therefore the new approach is faster compared to the classical one. It is applied to the stochastic problem of optimal scenario tree reduction. The aspects of global optimization are emphasized here. All necessary components for that problem are developed and some experimental results underline the benefits of the new approach. (author's abstract)
Original languageEnglish
Place of PublicationVienna
PublisherInstitut für Informationsverarbeitung und Informationswirtschaft, WU Vienna University of Economics and Business
Publication statusPublished - 2002

Publication series

SeriesWorking Papers on Information Systems, Information Business and Operations
Number03/2002

WU Working Paper Series

  • Working Papers on Information Systems, Information Business and Operations

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