In order to speed up convergence, this paper implants the memory mechanism in the traditional binary PSO.
为了加快粒子群算法的收敛速度,论文在传统粒子群算法中引入了记忆机制。
A method based on improved binary particle swarm optimization (PSO) is proposed for distribution network reconfiguration with the objective of load balancing.
提出了基于改进的二进制粒子群优化算法、以均衡负荷为目标的配电网重构方法。
Then a binary awareness model based on stochastic sensor placement and a stochastic multi-objective PSO arithmetic based on binary system which is applied on awareness model have been present.
在离散微粒群算法的基础上,提出了一种基于二进制的随机多目标P SO算法,并对感知模型进行覆盖优化。
应用推荐