유전자 알고리즘을 이용한 트러스의 최적설계

Abstract

Optimum design of most structural systems requires that design variables are regarded as discrete quantities. This paper presents the use of Genetic Algorithms for determining the optimum design for truss with discrete variables. Genetic Algorithms are known as heuristic search algorithms, and are effective global search methods for discrete optimization. In this paper, Elitism and the method of conferring penalty parameters in the design variables, in order to achieve improved fitness in the reproduction process, is used in the Genetic Algorithm. A 10-Bar plane truss and a 25-Bar space truss are used for discrete optimization. These structures are designed for stress and displacement constraints, but buckling is not considered. In particular, we obtain continuous solution using Genetic Algorithms for a 10-bar truss, compared with other results. The effectiveness of Genetic Algorithms for global optimization is demonstrated through two truss examples.1. 서 론