该文提出了一种改进的广义遗传算法。算法中引入了异种机制以提高种群的多样性,在保证收敛速度的同时防止早熟收敛。该方法应用于随机风载荷作用下有应力约束的多参数结构动力响应优化问题,数值算例表明:异种机制能够有效地提高广义遗传算法收敛于全局最优解的概率并加快收敛速度;带有异种机制的广义遗传算法能够有效地求解复杂的结构动力优化问题。 In this paper, an improved generalized genetic algorithm is proposed. The algorithm introduced a heterogeneous mechanism to improve the diversity of the population, to ensure convergence speed while preventing premature convergence. This method is applied to the dynamic response optimization of multi-parameter structures with stress-constrained loads under random wind loads. The numerical examples show that the heterogeneous mechanism can effectively improve the probability of convergence of the generalized genetic algorithm to the global optimal solution and accelerate the convergence rate. The heterogeneous mechanism of generalized genetic algorithm can effectively solve complex structural dynamic optimization problems.