A note on the relationship between strongly convex functions and multiobjective stochastic programming problems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F05%3A00411321" target="_blank" >RIV/67985556:_____/05:00411321 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A note on the relationship between strongly convex functions and multiobjective stochastic programming problems

Original language description

The paper considers multiobjective optimization problems in which objective functions are in the form of mathematical expectation of functions depending on a random element and a constraint set can depends on the underlying probability measure. A stability and empirical estimates of the (properly) efficient points set (w.r.t. probability measure space) are investigated. The former results on the above mentioned topics are modified and, moreover, the new results are proven under rather weaker assumptions.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Operations Research Proceedings 2004

ISBN

978-3-540-27679-1

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

Springer

Place of publication

Berlin

Event location

Tilburg

Event date

Sep 1, 2004

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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