A parallel genetic algorithm for optimal designing of frame structure

A new evolutionary optimal designing method is presented for the designing of steel structures. We combine finite element structural analysis codes with genetic algorithm to minimize the total weight of the structure subject to external loads and constraints. The proposed algorithm is implemented us...

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Veröffentlicht in:2010 2nd Conference on Environmental Science and Information Application Technology Jg. 1; S. 751 - 754
Hauptverfasser: Ru, Zhongliang, Zhao, Hongbo, Zhu, Chuanrui
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.07.2010
Schlagworte:
Biology
finite element
MPI
optimal
parallel genetic algorithm
structure
ISBN:142447387X, 9781424473878
Online-Zugang:Volltext
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Zusammenfassung:A new evolutionary optimal designing method is presented for the designing of steel structures. We combine finite element structural analysis codes with genetic algorithm to minimize the total weight of the structure subject to external loads and constraints. The proposed algorithm is implemented using the Message Passing Interface(MPI) library over High Performance Computing Cluster-Dawning 4000. A master-slave paradigm is used to implement the proposed parallel distributed genetic algorithm. An example is given, and then, discuss the efficiency between the traditional sequential algorithm and the proposed parallel method.
ISBN:142447387X
9781424473878
DOI:10.1109/ESIAT.2010.5567247