摘要
为解决离散变量结构优化问题,将混沌搜索与遗传算法相结合,加速了收敛速度,同时变长度染色体中的拼接算子和截断算子能确保染色体的多样性,避免遗传算法陷入局部最优.算例表明:在计算量不大时可获得相当良好的全局性优化解.
In order to reach structural optimization of discrete variable, the chaos search and the genetic algorithm are used combinatively, which accelerates the convergence rate. At the same time the changing length of the chromosome with the splicing operator and the interruption operator can guarantee the multiplicity of the chromosome, and avoid the genetic algorithm falling into the most superior party. The computational example indicates that this method can obtain a better solution at a less cost.
出处
《华北水利水电学院学报》
2006年第4期23-25,共3页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
遗传算法
离散变量
混沌搜索
拼接算子
截断算子
结构优化
genetic algorithm
discrete variable
chaos search
splicing operator
interruption operator
structural optimization
