改进自适应遗传模拟退火算法的结构优化设计

Design of Structural Optimization for Adaptive Genetic Simulated Annealing

为提高遗传算法的收敛性,避免发生早熟收敛,对遗传算法进行改进.引入一种基于个体适应度值的自适应遗传算法,并将遗传算法和模拟退火算法结合形成一种混合算法,从而提高算法的运行效率和计算精度.算例表明改进的自适应遗传模拟退火混合算法较基本遗传算法更加有效.

In this paper,genetic algorithm（GA） and simulated annealing（SA） are presented for optimizing the structural systems with discrete design variable.First,in order to improve the convergence of GA and avoid the premature convergence,an adaptive GA is introduced.Second,GA and SA were mixed to enhance the computation precision and operating efficiency.Finally,the adaptive GSA was shown more effective than GA by an example.