Structural Optimization Using Parallel GA
Author(s)
E. Kita, H. Tanie, Y. Katsurada and N. Kamiya
Abstract
This paper describes the shape optimization scheme of a shaft using parallel
genetic algorithm. A profile of the object is represented by the Riesenfeld spline
function and then, the genetic representation of an object is defined by the
control points of the spline function. The reduction of the stress concentration
and the minimization of the weight of the structure are considered as the design
objectives. The profile of the object satisfying the objectives is found out so that
the adequate location of the control points is determined by applying the genetic
operators such as the selection, the crossover and the mutation. Finally, the
present scheme is applied to a simple numerical example.
1 Introduction
The application of the genetic algorithms [1,2] to the structural optimization has
been studied by many researcher
Keywords
Related Book
Other papers in this volume
Warning (2)
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Code
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