The standard particle swarm optimization algorithm as a random global search algorithm, because of its rapid propagation in populations, easily into the local optimal solution.
标准的粒子群优化算法作为一种随机全局搜索算法，因其在种群中传播速度过快，易陷入局部最优解。
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。
An enumeration method was used to get the optimal splitting of the candidate branches. A modified discrete particle swarm optimization algorithm (MDPSO) was used to get the final strategy.
根据限流措施优化配置问题的特点，提出先对候选可开断支路采用枚举法求解支路开断的优化方案，再采用改进离散粒子群算法(MDPSO)求解综合限流方案。
The global optimal solution is obtained based on chaotic particle swarm optimization algorithm.
基于混沌粒子群优化算法对优化数学模型进行了求解。
The global optimal solution is obtained based on chaotic particle swarm optimization algorithm.
基于混沌粒子群优化算法对优化数学模型进行了求解。
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