Inside the Box: 0-1 Linear Programming Under Interval Uncertainty
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10509912" target="_blank" >RIV/00216208:11320/25:10509912 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-031-81241-5_24" target="_blank" >https://doi.org/10.1007/978-3-031-81241-5_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-81241-5_24" target="_blank" >10.1007/978-3-031-81241-5_24</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Inside the Box: 0-1 Linear Programming Under Interval Uncertainty
Popis výsledku v původním jazyce
Many practical optimization problems require models that are able to reflect uncertainty or inexactness inherently present in the data. Interval linear programming provides a model for handling uncertain optimization problems, in which one assumes that only lower and upper bounds on the input data are available and the data can be independently perturbed within the intervals determined by the given bounds. Apart from the linear programming models with continuous variables, which have been explored by various authors, intervals also often arise in discrete optimization problems. We adopt the model of integer linear programming with binary variables, in which the constraint matrix, objective vector and right-hand-side vector are affected by interval uncertainty. For this model, only a few works investigating its properties can be found in the literature. In this paper, we discuss the main concepts of feasibility and optimality in the model and discuss their properties. Namely, we address the problem of computing the set and the range of optimal values and characterizing weak optimality of solutions. (C) The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Název v anglickém jazyce
Inside the Box: 0-1 Linear Programming Under Interval Uncertainty
Popis výsledku anglicky
Many practical optimization problems require models that are able to reflect uncertainty or inexactness inherently present in the data. Interval linear programming provides a model for handling uncertain optimization problems, in which one assumes that only lower and upper bounds on the input data are available and the data can be independently perturbed within the intervals determined by the given bounds. Apart from the linear programming models with continuous variables, which have been explored by various authors, intervals also often arise in discrete optimization problems. We adopt the model of integer linear programming with binary variables, in which the constraint matrix, objective vector and right-hand-side vector are affected by interval uncertainty. For this model, only a few works investigating its properties can be found in the literature. In this paper, we discuss the main concepts of feasibility and optimality in the model and discuss their properties. Namely, we address the problem of computing the set and the range of optimal values and characterizing weak optimality of solutions. (C) The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-11117S" target="_blank" >GA22-11117S: Globální analýza citlivosti a stabilita v optimalizačních úlohách</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-81241-5
ISSN
0302-9743
e-ISSN
—
Počet stran výsledku
8
Strana od-do
312-319
Název nakladatele
Springer Science and Business Media Deutschland GmbH
Místo vydání
Cham
Místo konání akce
Pizzo Calabro
Datum konání akce
14. 6. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—