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Parallel Genetic Algorithm Applied in Optimization of RC Beams

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F03%3A01092582" target="_blank" >RIV/68407700:21110/03:01092582 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallel Genetic Algorithm Applied in Optimization of RC Beams

  • Original language description

    This paper presents discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. The deterministic optimization algorithm is used for the detailing of a reinforced concrete cross-section for a given combination of internal forces. The stochastic optimization algorithm, based on the Augmented Simulated Annealing, is used for the optimization of a whole structure in terms of basic structural characteristics like types ofmaterials, dimensions of elements or profiles of steel bars. The parallelization of genetic algorithm is implemented to reduce the overall computational time. Obtained preliminary results outline the direction of future research.

  • Czech name

  • Czech description

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • ISBN

    80-86059-35-9

  • Place of publication

    Praha

  • Publisher/client name

    Not available

  • Version

  • Carrier ID