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Ant-particle-swarm
- 基于蚁群粒子群的模糊神经网络交通流量预测，是做毕业设计参考的文献，希望对做交通流预测的同学有帮助-Ant particle swarm-based fuzzy neural network traffic flow forecasts, is doing graduate design reference literature, and help students to do traffic flow forecasting
A-New-PSO
- 本文提出了一种新的混合模糊动态速度反馈的粒子群的优化(HFDVF-PSO）解决经济调度问题的非光滑的成本考虑阀点效应和多种燃料选择功能。-This paper proposes a new Hybrid Fuzzy Dynamic Velocity Feedback Particle Swarm Optimization (HFDVF-PSO) for solving conomic Dispatch (ED) problem with non-smooth cost functions con
Fuzzy-Adaptive-PSO
- 模糊方法与粒子群算法结合，能有效的提高算法的性能。-Fuzzy methods and particle swarm algorithms, can effectively improve the performance of the algorithm.
FuzzyPSO_2010-(1)
- A Fuzzy-Particle Swarm Optimization Based Algorithm for Solving Shortest Path Problem. Abstract—In this paper, an efficient particle swarm optimization (PSO) algorithm based on fuzzy logic for solving the single source shortest path proble
粒子群优化算法
- 粒子群优化（PSO）是一种进化计算技术（进化计算）。 捕食鸟行为的研究。粒子群算法（PSO）的基本思想是通过群体中个体之间的协作和信息共享找到最优解。 粒子群优化算法的优点是它简单且易于实现，没有多个参数。目前，它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev
OPF control of dc grid
- 针对直流电网中的最优潮流问题，提出了一种基于模糊控制理论的自适应粒子群算法，以实现电网兼顾有功网损和电压质量的优化运行。(To solve optimal power flow problem in DC grid, an adaptive particle swarm optimization (PSO) algorithm based on fuzzy control theory is proposed in this paper, and optimal operation consi