Applying Genetic Algorithms to Several Problems of Engineering Practice

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Applying Genetic Algorithms to Several Problems of Engineering Practice

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Applying Genetic Algorithms to Several Problems of Engineering Practice

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2003

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

84-95999-33-1

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

126-127

Název nakladatele

International Center for Numerical Methods in Engineering (CIMNE)

Místo vydání

Barcelona

Místo konání akce

Barcelona

Datum konání akce

15. 9. 2003

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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