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Applying Genetic Algorithms to Several Problems of Engineering Practice

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F03%3A01092745" target="_blank" >RIV/68407700:21110/03:01092745 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Applying Genetic Algorithms to Several Problems of Engineering Practice

  • Original language description

    The aim of the present contribution is to summarize several achievements obtained when solving different engineering optimization tasks with the help of genetic algorithms-based methods. The first part is devoted to the comparison of several stochastic optimization algorithms used by the authors in their previous works for the solution of some problems arising in Civil Engineering. In particular, the Differential Evolution (DE) is compared to the Simplified Atavistic Differential Evolution (SADE), Integer Augmented Simulated Annealing (IASA) and the Real-valued Augmented Simulated Annealing (RASA) methods, the algorithms independently developed by authors for solving various optimization problems. A carefully selected set of optimized functions is usedfor the comparison of these methods, both in terms of performance and reliability. The second part deals with the problem of a complex material model parameters identification. The microplane material law, describing behavior of concret.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

  • Article name in the collection

    Evolutionary Methods for Design, Optimization and Control: Applications to Industrial and Societal Problems

  • ISBN

    84-95999-33-1

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    126-127

  • Publisher name

    International Center for Numerical Methods in Engineering (CIMNE)

  • Place of publication

    Barcelona

  • Event location

    Barcelona

  • Event date

    Sep 15, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article