本文二次更新型粒子群算法（ TUPSO）的基本思想是：一方面，在保留粒子群算法中快速收敛， 易于实现， 调整参数少等优势的前提下，通过融合基本粒子群算法中的信息共享原理与 DPSO-TSP 中的 2-Opt 运算法则，改进了DPSO-TSP中粒子进化的规则-In this paper, the basic idea of the new particle swarm optimization (TUPSO) algorithm is: on the one hand, by integrating the particle swarm optimization algorithm in the fast convergence, easy to achieve, adjust the parameters of less advantage of the premise, through the integration of basic particle swarm algorithm information sharing Principle and the 2-Opt algorithm in DPSO-TSP improves the rule of particle evolution in DPSO-TSP