在传统公差优化设计模型中质量损失成本的基础上增加了质量保证成本,给出了以加工成本和质量成本为优化目标的公差多目标优化模型,并采用改进引力搜索算法进行模型的求解。改进引力搜索算法以基本引力搜索算法为基础,引入粒子群算法中的记忆和交流机制改善提高最优解的质量,并引入模拟退火算法中Metropolis准则的位置更新机制,增强算法求解的能力。最后以一个齿轮组件的装配为实例,验证了算法的适用性和有效性。 Based on the mass loss cost in the traditional tolerance optimization design model, the quality assurance cost is increased, and the tolerance multi-objective optimization model with the processing cost and the quality cost as the optimization objective is given. The improved gravity search algorithm is used to solve the model. Based on the basic gravitation search algorithm, the improved gravitation search algorithm is introduced to improve the quality of the optimal solution by introducing the memory and exchange mechanism in particle swarm optimization. The location update mechanism of Metropolis criterion in simulated annealing algorithm is introduced to enhance the ability of solving the algorithm. Finally, the assembly of a gear assembly is taken as an example to verify the applicability and effectiveness of the algorithm.