bibtype K - Conference Paper (Czech conference)
ARLID 0493605
utime 20240103220519.2
mtime 20180921235959.9
title (primary) (eng) Multi-Objective Optimization Problems with Random Elements - Survey of Approaches
specification
page_count 6 s.
media_type C
serial
ARLID cav_un_epca*0493555
ISBN 978-80-7378-371-6
title 36th International Conference Mathematical Methods in Economics
page_num 198-203
publisher
place Praha
name MatfyzPress
year 2018
editor
name1 Váchová
name2 Lucie
editor
name1 Kratochvíl
name2 Václav
keyword multi-objective optimization problems
keyword random element
keyword mean-risk model
keyword deterministic approach
keyword stochastic multi-objective problems
keyword constraints set
keyword relaxation
author (primary)
ARLID cav_un_auth*0101122
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
full_dept Department of Econometrics
share 100
name1 Kaňková
name2 Vlasta
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2018/E/kankova-0493605.pdf
cas_special
project
ARLID cav_un_auth*0363963
project_id GA18-02739S
agency GA ČR
abstract (eng) Many economic and financial situations depend simultaneously on a random element and a decision parameter. Mostly, it is possible to influence the above mentioned situation only by an optimization model depending on a probability measure. This optimization problem can be static (one-stage), dynamic with finite or infinite horizon, single-objective or multi-objective. We focus on one-stage multi-objective problems corresponding to applications those are suitable to evaluate simultaneously by a few objectives. The aim of the contribution is to give a survey of different approaches (as they are known from the literature) of the above mentioned applications. To this end we start with well-known mean-risk model and continue with other known approaches. Moreover, we try to complete every model by a suitable application. Except an analysis of a choice of the objective functions type we try to discuss suitable constraints set with respect to the problem base, possible investigation and relaxation. At the end we mention properties of the problem in the case when the theoretical „underlying“ probability measure is replaced by its „deterministic“ or „stochastic“ estimate.
action
ARLID cav_un_auth*0363994
name 36th International Conference Mathematical Methods in Economics
dates 20180912
mrcbC20-s 20180914
place Jindřichův Hradec
country CZ
RIV BB
FORD0 50000
FORD1 50200
FORD2 50201
reportyear 2019
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0286981
confidential S
arlyear 2018
mrcbU63 cav_un_epca*0493555 36th International Conference Mathematical Methods in Economics MatfyzPress 2018 Praha 198 203 978-80-7378-371-6
mrcbU67 340 Váchová Lucie
mrcbU67 340 Kratochvíl Václav