【摘要】 提出了基于多种群并行的混沌粒子群(PSO)优化矢量数据精度降低算法。通过混沌序列化初始粒子,有效提高了PSO全局搜索能力和收敛效率。实验表明:混沌粒子群(PSO)可以使矢量数据不同图层要素保持较好的拓扑关系。更多还原

【Abstract】 In this paper, a new algorithm for optimizing vector data of chaotic particle swarm(PSO) based on multi-population parallel is proposed.The global searching ability and convergence efficiency of PSO are improved by the chaotic serialization of the initial particles.Experiments show that the chaotic particle swarm(PSO) can maintain a good topological relation between different layer elements of vector data.更多还原