在分析现有组合优化问题禁忌搜索算法的基础上,给出了一种改进的适合于连续变量全局优化的禁忌搜索算法.为了提高算法的收敛性能,融入了模拟退火机制,并将此算法应用于复杂系统可靠性最优分配问题.仿真实验表明,改进的禁忌搜索算法求解该类问题更有效. Based on the analysis of tabu search algorithms of existing combinatorial optimization problems, an improved Tabu search algorithm is proposed, which is suitable for the global optimization of continuous variables.In order to improve the convergence performance of the algorithm, a simulated annealing mechanism is incorporated and applied to the algorithm The problem of the optimal distribution of the reliability of the complex system.The simulation results show that the improved tabu search algorithm is more effective in solving such problems.