1) 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。
2) 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。
3) hybrid particle swarm optimization(HPSO)
混合粒子群优化算法(HPSO)
4) 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
5) Chaos particle swarm optimization
混沌粒子群优化
1.
Based on chaos particle swarm optimization(CPSO) algorithm and support vector machine(SVM),an advanced approach is presented to enhance the ability of time series prediction.
对于模型参数估计,引入混沌粒子群优化算法(CPSO)实现全局寻优,利用支持向量回归实现非线性系统的建模和预测。
6) Hybrid algorithm of simplex and particle swarm optimization
单纯形粒子群优化方法的混合算法
补充资料：WZ型无重力粒子混合机
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