Optimization of trusses with self-adaptive approach in genetic algorithms

• Autorzy: Grygierek K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a genetic algorithm method for the optimization of the weight of steel truss structures. In the method of genetic algorithm integer encoding of a discrete set of design variables and novel self-adaptive method based on fuzzy logic mechanism are applied for improving the quality and speed of optimization. Self-adaptive method is applied simultaneously in the selection of chromosomes and to control basic parameters of genetic algorithm. The algorithm proposed in the work was tested on the examples of optimization of steel trusses. Obtained results proved the effectiveness of genetic algorithm in relation to classical genetic algorithm.

PL

W pracy przedstawiono metodę algorytmów genetycznych do optymalizacji masy kratownic stalowych. W metodzie algorytmów genetycznych zastosowano kodowanie całkowitoliczbowe do opisu dyskretnego zbioru zmiennych projektowych oraz nową metodę samoadaptacyjną bazującą na logice rozmytej celem poprawienia jakości oraz szybkości procesu optymalizacyjnego. Metodę samoadaptacyjną użyto równocześnie do selekcji chromosomów oraz kontroli podstawowych parametrów algorytmu genetycznego. Zaproponowany w pracy algorytm przetestowano na przykładach optymalizacji kratownic stalowych. Otrzymane rezultaty pokazały jego efektywność w stosunku do klasycznego algorytmu genetycznego.

Słowa kluczowe

EN

fuzzy logic; genetic algorithm; optimization; self-adaptive; truss

PL

logika rozmyta; algorytm genetyczny; optymalizacja; samoadaptacja; kratownica

• Wydawca: Silesian University of Technology
• Czasopismo: Architecture Civil Engineering Environment
• Rocznik: 2016
• Tom: Vol. 9, no. 4
• Strony: 67--78
• Opis fizyczny: Bibliogr. 34 poz.

Twórcy

autor

Grygierek K.

• Faculty of Civil Engineering, Silesian University of Technology, Akademicka 5, 44-100 Gliwice, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).