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| 1 | Surrogate-Assisted Particle Swarm Optimization Algorithm With Pareto Active Learning for Expensive Multi-Objective Optimization显示文摘For multi-objective optimization problems, particle swarm optimization(PSO) algorithm generally needs a large number of fitness evaluations to obtain the Pareto optimal solutions. However, it will become substantially time-consuming when handling computationally expensive fitness functions. In order to save the computational cost, a surrogate-assisted PSO with Pareto active learning is proposed. In real physical space(the objective functions are computationally expensive), PSO is used as an optimizer, and its optimization results are used to construct the surrogate models. In virtual space, objective functions are replaced by the cheaper surrogate models, PSO is viewed as a sampler to produce the candidate solutions. To enhance the quality of candidate solutions, a hybrid mutation sampling method based on the simulated evolution is proposed, which combines the advantage of fast convergence of PSO and implements mutation to increase diversity. Furthermore, ε-Pareto active learning(ε-PAL)method is employed to pre-select candidate solutions to guide PSO in the real physical space. However, little work has considered the method of determining parameter ε. Therefore, a greedy search method is presented to determine the value ofεwhere the number of active sampling is employed as the evaluation criteria of classification cost. Experimental studies involving application on a number of benchmark test problems and parameter determination for multi-input multi-output least squares support vector machines(MLSSVM) are given, in which the results demonstrate promising performance of the proposed algorithm compared with other representative multi-objective particle swarm optimization(MOPSO) algorithms. | Zhiming Lv Linqing Wang Zhongyang Han Jun Zhao Wei Wang | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，3： | 13 |
| 2 | LLDPE prepared by in situ polymerization using a dual-functional catalytic system of Ti(On-Bu)_4 /AlEt_3-Et(Ind)_2-ZrCl_2/MAO显示文摘Linear low-density polyethylene (LLDPE) was prepared by in situ polymerization using a dual-functional catalytic system containing Et(Ind)2ZrCl2/MAO and Ti(On-Bu)4 /AlEt3 used as co-polymerization catalyst and dimeriza-tion catalyst, respectively. The catalytic system showed high activity and the polymer with low melting point, narrow molecular weight distribution (MWD) and low crystallinity was produced. | LIU Zhongyang, XU Demin, GUO Cunyue, WANG Jun, HE Dawei & HU YouliangStale Key Lab of Engineering Plastics, Center for Molecular Science, Institute of Chemistry. Chinese Academy of Sciences, Beijing 100080, China Beijing Lab of Catalysis. China National Petroleum Corporation Key Lab of Catalysis, Beijing 100080, China | 2001 | Chinese Science Bulletin2001，46，24： | 7 |
| 3 | Genetic Types and Metallogenic Model for the Polymetallic Copper–Gold Deposits in the Tongling Ore District, Anhui Province, Eastern China显示文摘The Tongling ore district is one of the most economically important ore areas in the Middle–Lower Yangtze River Metallogenic Belt, eastern China. It contains hundreds of polymetallic copper–gold deposits and occurrences. Those deposits are mainly clustered(from west to east) within the Tongguanshan, Shizishan, Xinqiao, Fenghuangshan, and Shatanjiao orefields. Until recently, the majority of these deposits were thought to be skarn-or porphyry–skarn-type deposits; however there have been recent discoveries of numerous vein-type Au, Ag, and Pb-Zn deposits that do not fall into either of these categories. This indicates that there is some uncertainty over this classification. Here, we present the results of several systematic geological studies of representative deposits in the Tongling ore district. From investigation of the ore-controlling structures, lithology of the host rock, mineral assemblages, and the characteristics of the mineralization and alteration within these deposits, three genetic types of deposits(skarn-, porphyry-, and vein-type deposits) have been identified. The spatial and temporal relationships between the orebodies and Yanshanian intrusions combined with the sources of the ore-forming fluids and metals, as well as the geodynamic setting of this ore district, indicate that all three deposit types are genetically related each other and constitute a magmatic–hydrothermal system. This study outlines a model that relates the polymetallic copper–gold porphyry-, skarn-, and vein-type deposits within the Tongling ore district. This model provides a theoretical basis to guide exploration for deep-seated and concealed porphyry-type Cu(–Mo, –Au) deposits as well as shallow vein-type Au, Ag, and Pb–Zn deposits in this area and elsewhere. | FU Zhongyang XU Xiaochun HE Jun FAN Ziliang XIE Qiaoqin DU Jianguo CHEN Fang | 2019 | Acta Geologica Sinica(English Edition)2019，93，1： | 6 |
| 4 | Preparation of long-branched polyethylene by in situ poly-merization using late transition metal and metallocene catalysts显示文摘An in situ polymerization method was investigated to prepare long-branched polyethylene (LBPE) with ethylene alone and a single cocatalyst, methylalumoxane (MAO), by using a dual functional catalytic system containing late transition metal oligomerization catalyst and metal-locene copolymerization catalyst. The obtained long-branched polyethylene has the characteristics of low melting point, high activity and well-dispersed sequence distribution. | LIU Zhongyang GUO Cunyue MAZhi WANG Jun XU Demin HE Dawei HU Youliang | 2001 | Chinese Science Bulletin2001，46，24： | 5 |
| 5 | An Optimized Oxygen System Scheduling With Electricity Cost Consideration in Steel Industry显示文摘As an essential energy resource in steel industry,oxygen is widely utilized in many production procedures.With different demands of the oxygen amount,a gap between the generation and consumption always occurs.Therefore,its related optimization and scheduling work along with the electricity cost to fill the gap has a great impact on daily production and efficient energy utilization in steel plant.Considering an oxygen system in a steel plant in China,a nonlinear programming model for oxygen system scheduling is proposed in this study,which concerns not only the practical characteristics of the energy pipeline network,but also the electricity cost acquired by a fitting regression modeling between the load of air separation units(ASU)and its corresponding electricity consumption.A set of constraints is formulated for restricting the practical adjusting capacity and filling the imbalance gap of oxygen.To solve the proposed scheduling model with electricity cost consideration,a particle swarm optimization(PSO)algorithm is then adopted.To verify the effectiveness of the proposed approach,a large number of experiments employing the real data from this plant are carried out,both for the fitting regression and the scheduling optimization phases.And the results demonstrate that such a practice-based solution successfully resolves the oxygen scheduling problem and simultaneously minimizes the electricity cost,which will be beneficial for the enterprise. | Zhongyang Han Jun Zhao Wei Wang | 2017 | IEEE/CAA Journal of Automatica Sinica2017，4，2： | 4 |
| 6 | Influenceof novel nucleating agent on the mechanical properties andcrystallinity of polyoxymethylene显示文摘 | Li Zhongjiang Feng Danjiang Jun Zhongyang | 2012 | Advanced MaterialsResearch2012，，： | 1 |
| 7 | F3 peptide-functionalized PEG-PLA nanoparticles co-administrated with tLyp-1 peptide for anti-glioma drug delivery显示文摘 | Quanyin Hu Guangzhi Gu Zhongyang Liu Mengyin Jiang Ting Kang Deyu Miao Yifan Tu Zhiqing Pang Qingxiang Song Lei Yao Huimin Xia Hongzhan Chen Xinguo Jiang Xiaoling Gao Jun Chen | 2013 | Biomaterials2013，，4： | 1 |
| 8 | Real time tank levels based on multi- vector regressor 显示文摘 | HAN Zhongyang LIU Ying prediction for converter gas output least square support Engineering Practice 2012 ZHAO Jun | 2012 | Control2012，，20： | 1 |
| 9 | Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Intervals for Industrial Time Series With Incomplete Input显示文摘Prediction intervals(PIs)for industrial time series can provide useful guidance for workers.Given that the failure of industrial sensors may cause the missing point in inputs,the existing kernel dynamic Bayesian networks(KDBN),serving as an effective method for PIs construction,suffer from high computational load using the stochastic algorithm for inference.This study proposes a variational inference method for the KDBN for the purpose of fast inference,which avoids the timeconsuming stochastic sampling.The proposed algorithm contains two stages.The first stage involves the inference of the missing inputs by using a local linearization based variational inference,and based on the computed posterior distributions over the missing inputs the second stage sees a Gaussian approximation for probability over the nodes in future time slices.To verify the effectiveness of the proposed method,a synthetic dataset and a practical dataset of generation flow of blast furnace gas(BFG)are employed with different ratios of missing inputs.The experimental results indicate that the proposed method can provide reliable PIs for the generation flow of BFG and it exhibits shorter computing time than the stochastic based one. | Long Chen Linqing Wang Zhongyang Han Jun Zhao Wei Wang | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，5： | 1 |
| 10 | Syndiospecific polymerization of styrene based on dichlorobis(1,3-diketonato) catalyst system: Effectcs of substituents on catalyst activity 显示文摘 | Wang Jun Liu Zhongyang Wang Dong | 2000 | Polym Int2000，49，12： | 1 |
| 11 | F3 peptide-functionalized PEG-PLA nanoparticles co-administrated with tLyp-1 peptide for anti-glioma drug delivery显示文摘 | Quanyin Hu Guangzhi Gu Zhongyang Liu Mengyin Jiang Ting Kang Deyu Miao Yifan Tu Zhiqing Pang Qingxiang Song Lei Yao Huimin Xia Hongzhan Chen Xinguo Jiang Xiaoling Gao Jun Chen | 2013 | Biomaterials2013，，4： | 1 |
| 12 | Micro-nanofiber composite biomimetic conduits promote long-gap peripheral nerve regeneration in canine models显示文摘Peripheral nerve injuries may result in severe long-gap interruptions that are challenging to repair.Autografting is the gold standard surgical approach for repairing long-gap nerve injuries but can result in prominent donor-site complications.Instead,imitating the native neural microarchitecture using synthetic conduits is expected to offer an alternative strategy for improving nerve regeneration.Here,we designed nerve conduits composed of high-resolution anisotropic microfiber grid-cordes with randomly organized nanofiber sheaths to interrogate the positive effects of these biomimetic structures on peripheral nerve regeneration.Anisotropic microfiber-grids demonstrated the capacity to directionally guide Schwann cells and neurites.Nanofiber sheaths conveyed adequate elasticity and permeability,whilst exhibiting a barrier function against the infiltration of fibroblasts.We then used the composite nerve conduits bridge 30-mm long sciatic nerve defects in canine models.At 12 months post-implant,the morphometric and histological recovery,gait recovery,electrophysiological function,and degree of muscle atrophy were assessed.The newly regenerated nerve tissue that formed within the composite nerve conduits showed restored neurological functions that were superior compared to sheaths-only scaffolds and Neurolac nerve conduit controls.Our findings demonstrate the feasibility of using synthetic biophysical cues to effectively bridge long-gap peripheral nerve injuries and indicates the promising clinical application prospects of biomimetic composite nerve conduits. | Xianhao Dong Yueyue Yang Zheheng Bao Adam C.Midgley Feiyi Li Shuxin Dai Zhuangzhuang Yang Jin Wang Lihua Liu Wenlei Li Yayuan Zheng Siyang Liu Yang Liu Weijian Yu Jun Liu Meng Fan Meifeng Zhu Zhongyang Shen Gu Xiaosong Deling Kong | 2023 | Bioactive Materials2023，，12： | 0 |
| 13 | Layer-structured Cr/Cr_(x)N coating via electroplating-based nitridation achieving high deuterium resistance as the hydrogen permeation barrier显示文摘Hydrogen isotope permeation through structural materials is a key issue for developing nuclear fusion energy,which will cause fuel loss and radioactive pollution.Developing ceramic coatings with high thermal shock and hydrogen resistance is an effective strategy to solve this issue.In this work,a layer-structured Cr/Cr_(x)N coating was successfully fabricated by a facile electroplatingbased nitridation technique,which is easy,facile,and applicable to coating complex-shaped substrates.The Cr/Cr_(x)N coating,composed of a bottom Fe/Cr interdiffusion zone,a middle Cr layer,and a top Cr_(x)N layer,exhibits high bonding strength,high anti-thermal-shock ability,and high deuterium permeation resistance.Its bonding strength achieves 43.6 MPa.The Cr/Cr_(x)N coating remains intact even after suffering 300 thermal shock cycles under a 600℃–water condition.Through optimizing the nitridation temperature,the Cr/Cr_(x)N coating achieves a deuterium permeation reduction factor(PRF)as high as 3599 at 500℃.Considering its scalable fabrication technique and considerable properties,the developed Cr/Cr_(x)N coating may serve as a novel high-performance hydrogen permeation barrier in various fields. | Liyu ZHENG Heping LI Jun ZHOU Xinluo TIAN Zhongyang ZHENG Long WANG Xinyun WANG Youwei YAN | 2022 | Journal of Advanced Ceramics2022，11，12： | 0 |
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