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1)  hybrid cooperative particle swarm optimization
混合协同粒子群优化
1.
Training method for generalized Takagi-Sugeno fuzzy model by hybrid cooperative particle swarm optimization
基于混合协同粒子群优化的广义T-S模糊模型训练方法
2)  cooperative particle swarm optimization(CPSO)
协同粒子群优化
1.
To improve the efficiency and the accuracy of the parameter finding,a cooperative particle swarm optimization(CPSO) is introduced.
本文利用最大全变差范数作为ISAR方位向成像的聚焦评价准则,该指标值在平动参数空间中的分布具有局部极值点少的优点,利于最优确定初相补偿函数的参数,并采用协同粒子群优化算法加速参数的寻优速度和精度。
3)  Hybrid particle swarm optimization
混合粒子群优化
1.
A hybrid particle swarm optimization (HPSO) approach is presented to solve the problem of optimizing the steady-state temperatures of the three zones of a billet reheating furnace.
针对一种蓄热推钢式加热炉三个加热区的炉温稳态优化问题,本文提出了一种混合粒子群优化(HPSO)方法。
2.
Inspired by the idea of combining models to improve prediction accuracy and robustness,a new method based on hybrid particle swarm optimization algorithm for heterogeneous multi-model nonlinear soft sensing modeling was proposed.
基于异类组合预测模型可提高模型的预测精度及鲁棒性的思想,提出一种基于混合粒子群优化的异类多模型非线性组合软测量建模的新方法。
4)  particle swarms cooperative optimization algorithm
多粒子群协同优化算法
5)  hybrid particle swarm optimization
混合粒子群优化算法
1.
The chaos search based hybrid particle swarm optimization(PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO,which is applied into the reactive power optimization.
应用粒子群优化算法(PSO)求解电力系统无功优化问题,提出基于混沌搜索的混合粒子群优化算法,以克服PSO容易早熟而陷入局部最优解的缺点。
2.
Aimed at the problem of optimization with a limit on computing time, such as the state prediction of a typical equipment in process industry, hybrid particle swarm optimization took the global best position found by the particle swarm as a special particle, which performed the gradient descending optimization.
提出了一种通过改进全局最优位置粒子寻优策略而提高粒子群优化计算效率的混合粒子群优化算法。
6)  hybrid particle swarm optimization(HPSO)
混合粒子群优化算法(HPSO)
补充资料:协同
①各方互相配合:协同作战。②协助:请机修班协同安装设备。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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