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Paper ecce-1997-263:
Ga based structural optimization

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Brbatur Fuat, Hasancebl O

Ga based structural optimization

Abstract: Genetic Algorithms have emerged to be a very versatile optimization and search algorithms wbicb are most snitable for discrete optimization. This paper describes the fundamentals of a genetic algorithm based computer software designed for structural optimization. At present the program is capable to treat discrete size optimization of two and three dimensional structures made of 1-D elements. The main system integrates with a structural analysis program which uses the displacement method of analysis. The constraints involved are typically; nodal displacements, element stresses and stability. The program incorporates code requirements. However, any preferred code restrictions can easily be incorporated. The program has a number of practical features including member linking and multiple loading. The penalty function and crossover techniques used in the GA are newly proposed and also explained in the paper. The paper also discusses an illustrative example.



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