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Pool & Discard Algorithm for Chance Constrained Optimization Problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU136451" target="_blank" >RIV/00216305:26210/20:PU136451 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9079523" target="_blank" >https://ieeexplore.ieee.org/document/9079523</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2020.2990726" target="_blank" >10.1109/ACCESS.2020.2990726</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pool & Discard Algorithm for Chance Constrained Optimization Problems

  • Original language description

    In this paper, we describe an effective algorithm for handling chance constrained optimization problems, called the Pool & Discard algorithm. The algorithm utilizes the scenario approximation framework for chance constrained optimization problems, and the warm-start and problem modification features of modern solvers. The exploitation of the problem structure and efficient implementation allows us to considerably speed up the computations, especially for large instances, when compared with conventional methods.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

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

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    79397-79407

  • UT code for WoS article

    000549839700013

  • EID of the result in the Scopus database

    2-s2.0-85084924497