改进粒子群算法求解TSP问题
Modified Particle Swarm Optimization Algorithm for TSP Problem
在运用粒子群算法求解TSP问题时,针对粒子迭代、速度不能简单地采用连续量的运算法则进行计算的特点,通过构造插入因子,定义插入序,给出了速度运算规则,为防止算法陷入局部最优,提高寻优速度,结合局部优化算子与启发式变异算子设计了粒子群算法,最后,对TSP问题标准问题进行了仿真测试,实验结果表明了算法的有效性。
Solving TSP problem, with particle swarm optimization, iteration of the particles, the speed could not simply adopt continuous algorithm to calculate. By constructing insertion element, to define insertion sequence, speed algorithm was established. To prevent algorithm falls into local optimum, and to increase the speed of searching optimization, combined with the local optimization operator and the heuristic mutation operator were given. In the end, Simulation testing was designed. The experimental results showed the effectiveness of the algorithm.
王晴、朱海洋、盛景军、王勇
计算技术、计算机技术
算法TSP问题改进粒子群算法局部优化算子启发式变异算子
algorithmTSP problemmodified particle swarm optimizationLocal optimization operatorheuristic mutation operator
王晴,朱海洋,盛景军,王勇.改进粒子群算法求解TSP问题[EB/OL].(2015-06-05)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201506-87.点此复制
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