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of optimization methods in parameter estimation and optimization of PID controllers, the challenging optimization problems, which elude acceptable solutions via traditional numerical methods, often arise... sized constrained NLPs [12], applying this algorithm to establishing a more efficient and stable PID parameter optimization method was the primary goal of this work. The formulation and solution of PID......
Metallographic structure,mechanical properties,and process parameter optimization of 5A06 joints formed by ultrasonic-assisted refill friction stir spot weldingXin-bo Liu1,2,Feng-bin Qiao2,Li-jie Guo2,Xiong-er Qiu11. Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area,Shaoyang University2. Shanghai Aerospace Equipment Manufacturer摘 要: on analyzing the damping rules of vibration. Accordingly, suggestions were proposed to parameter optimization of railway lines in high-speed railway station yard. 2 Regulations on arrangement...-chao, YIN Guo-dong. Study on parameter optimization of curves behind the turnouts in high-speed railway yard [J]. Journal of Railway Engineering Society, 2010(7): 29-33. (in Chinese) [11] REN Zun-song......Length optimization of straight line connecting turnout on main line in high-speed railway station yard
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来源: 《中南大学学报(英文版)2017年第5期》——尹国栋 时瑾 魏庆朝 来琳
基于自适应蚁群算法的传热模型参数辨识纪振平1,谢植2,马交成2(1.辽宁省沈阳市沈阳理工大学 信息科学与工程学院2.东北大学)摘 要:针对铸坯凝固传热模型校正问题,提出了采用自适应蚁群优化算法进行参数辨识的方法.首先在不同条件下对铸坯不同位置进行射钉并测量凝固坯壳厚度,然后根据测量数据集和凝固传热数学模型的数值解,采用自适应蚁群优化算法进行参数辨识,确定二冷区内各冷却段的传热系数,最后通过二冷出口铸坯表面温度和凝固坯壳厚度的测量数据与采用辨识参数的传热模型预测结果进行比较,验证了传热系数的准确性.校正的传热模型......
weighted parameter for the generation of new solution. Thus, we utilized the FBSO which is integrated with the least mean square algorithm. We named the fuzzy least brain storm optimization (FLBSO...J. Cent. South Univ. (2017) 24: 2360-2371 DOI: https://doi.org/10.1007/s11771-017-3648-9 Fuzzy least brain storm optimization and entropy-based Euclidean distance for multimodal vein-based......
as a decision criterion in network optimization. This selection considers access points (input parameter) nodes, transportation costs on the Steiner minimal tree, shaft development, operational costs... direction through meta-heuristic optimization Martha E. VILLALBA MATAMOROS, Mustafa KUMRAL Department of Mining and Materials Engineering, McGill University,3450 University Street, Montreal, QC H3A......
generation rate can be controlled around 3.2%, and the residual oxygen in the flue is nearly zero. Key words: flash smelting; numerical simulation; orthogonal experiment; parameter optimization 闪速炉具有生产率高,能耗低,烟...%左右,炉内氧气基本消耗完全. 关键词:闪速熔炼;数值仿真;正交试验;参数优化 中图分类号:TF811 文献标志码:A Optimization of operational parameters for flash......
. Cent. South Univ. Technol. (2011) 18: 1563-1571 DOI: 10.1007/s11771-011-0873-5 Immune response-based algorithm for optimization of dynamic environments SHI Xu-hua(史旭华)1, 2, QIAN Feng(钱锋)1 1. Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; 2. College of Information......
-derivative were iteratively derived. For the parameter tuning of improved MFAC, a parameter optimization algorithm was presented. Using the approximate identified model, the optimal controller...); (7) 判断是否满足性能指标要求,若满足,则参数整定结束;若没达到要求,则跳转到第5步继续 整定. 上述(5)~(7)步为运用梯度下降法进行二阶"泛模型"无模型控制参数优化的步骤,如图1所示. 图1 梯度下降法参数优化流程图 Fig.1 Flow chart of parameter optimization of gradient descent......
J. Cent. South Univ. Technol. (2009) 16: 0478-0481 DOI: 10.1007/s11771-009-0080-9 Support vector machine forecasting method improved by chaotic particle swarm optimization and its application...; Abstract: By adopting the chaotic searching to improve the global searching performance of the particle swarm optimization (PSO), and using......