neighbourhood topology particle swarm optimization 邻域拓扑粒子群优化算法
The Neighbourhood Topology Particle Swarm Optimization with evolutionary calculation and swarm intelligence is proposed used in the C-LIM optimal design by mechanism movement form and design demand.
根据C-LIM机构动作形式及C-LIM机构设计要求,提出把兼有进化计算和群智能的全局优化算法—邻域拓扑粒子群优化算法引入到电机优化设计中,实现了C-LIM的优化设计。
参考来源 - 高压断路器圆筒型直线感应电机操动机构研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A neighbourhood topology based particle swarm algorithm (NTPSO) is proposed for optimal reactive power dispatch and voltage control of power system.
提出了一种基于邻域拓扑粒子群优化算法(NTPSO)的大规模电力系统无功优化新算法。
The knowledge universe topology Spaces are studied by set approximate neighbourhood, and many important conclusions are achieved.
用集合近似邻域为手段，研究了知识论域拓扑空间，得出了一些重要结论。
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