bibtype J - Journal Article
ARLID 0366653
utime 20240103195800.2
mtime 20120611235959.9
WOS 000309708800010
SCOPUS 84867471857
DOI 10.1080/10556788.2011.627585
title (primary) (eng) On the computation of relaxed pessimistic solutions to MPECs
specification
page_count 21 s.
serial
ARLID cav_un_epca*0254588
ISSN 1055-6788
title Optimization Methods & Software
volume_id 28
volume 1 (2013)
page_num 186-206
publisher
name Taylor & Francis
keyword MPEC
keyword equilibrium constraints
keyword pessimistic solution
keyword value function
keyword relaxed and approximate solutions
author (primary)
ARLID cav_un_auth*0220207
name1 Červinka
name2 Michal
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0100790
name1 Matonoha
name2 Ctirad
full_dept (cz) Oddělení výpočetních metod
full_dept Department of Computational Methods
institution UIVT-O
full_dept Department of Computational Mathematics
fullinstit Ústav informatiky AV ČR, v. v. i.
author
ARLID cav_un_auth*0101173
name1 Outrata
name2 Jiří
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
project
project_id GA201/09/1957
agency GA ČR
ARLID cav_un_auth*0253042
research CEZ:AV0Z10300504
research CEZ:AV0Z10750506
abstract (eng) In this paper, we propose a new numerical method to compute approximate and the so-called relaxed pessimistic solutions to mathematical programs with equilibrium constraints (MPECs), where the solution map arising in the equilibrium constraints is not single-valued. This method combines two types of existing codes, a code for derivative-free optimization under box constraints, BFO or BOBYQA, and a method for solving special parametric MPECs from the interactive system UFO. We report on numerical performance in several small-dimensional test problems.
reportyear 2013
RIV BA
mrcbC52 4 A 4a 20231122134739.7
permalink http://hdl.handle.net/11104/0201555
mrcbT16-e COMPUTERSCIENCESOFTWAREENGINEERING|MATHEMATICSAPPLIED|OPERATIONSRESEARCHMANAGEMENTSCIENCE
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mrcbT16-g 0.149
mrcbT16-h 9.V
mrcbT16-i 0.00405
mrcbT16-j 0.9
mrcbT16-k 1055
mrcbT16-l 67
mrcbT16-s 0.689
mrcbT16-z ScienceCitationIndexExpanded
mrcbT16-4 Q2
mrcbT16-B 76.011
mrcbT16-C 67.936
mrcbT16-D Q1
mrcbT16-E Q2
arlyear 2013
mrcbTft \nSoubory v repozitáři: a0366653.pdf
mrcbU14 84867471857 SCOPUS
mrcbU34 000309708800010 WOS
mrcbU63 cav_un_epca*0254588 Optimization Methods & Software 1055-6788 1029-4937 Roč. 28 č. 1 2013 186 206 Taylor & Francis