2) improved BPSO
改进二进制粒子群算法
1.
At last,according to an illustration,it is proved that the improved BPSO does to be practical,and effective for multiple fault diagnosis based on maximum probability candidate fault set replace method.
给出了一种基于最大后验概率候选集更换法的多故障诊断策略,并深入阐述了基于最大后验概率候选集更换法的形式化描述,分析了对单故障诊断和多故障诊断的计算模型,提出了基本的故障诊断算法——改进二进制粒子群算法,并对抽象实例进行验证,结果表明,采用改进BPSO算法能有效地求解基于最大后验概率候选集更换法的多故障诊断问题。
3) Binary quantum particle swarm optimization
二进制量子粒子群算法
4) improved poly-particle swarm optimization algorithm
改进多粒子群算法
6) BPSO
二进制粒子群算法
1.
Binary Particle Swarm Optimization (BPSO) is applied to solve the problem of distribution network reconfiguration in this paper.
在优化算法上,采用了二进制粒子群算法来进行配电网重构最优方案的搜索。
2.
Based on deep analysis of objectives and constraints of test selection,a mathematical model is founded,and a hybrid algorithm based on BPSO and GA is proposed to solve the minimum complete test set that satisfies the testability requirements.
该算法将遗传算法中的遗传算子引入到二进制粒子群算法中,既避免陷入局部最优和早熟收敛现象,又提高了搜索效率。
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条