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第三十九届中国控制会议

作者： Yiran Li Ying Meng Yuanqing Xia School of Automation Beijing Institute of Technology Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of Education

Two-sided matching is an effective decision methodology to solve re source allocation problem,aiming at satisfactions of two disjoint matching *** warehouse is designed to store semifinished products,which could ensure process industry logistics works continuously and *** the surplus inventory materials to orders as a preprocess of production planning is a common method for made-to-order process *** relieves inventory pressure as well as improves material *** this paper,a material-order two-sided matching model with consideration of both sides’ preferences is *** both sides’ satisfaction by complete and dynamic preference,the obj ective is to maximize the global matching preference and to get stable *** solve the NP-hard problem efficiently,a tailored hybird algorithm PDADE is ***,a preference deferred acceptance based heuristic is designed to obtain high quality initial ***,a series of improved differential evolution strategies considering real number encoding of sparse two-dimension matrix is designed to achieve near-optimal solutions in short time for practical large scale *** to experiments of actual production data instances,the proposed algorithm outperforms the commercial solver and standard DE both on run time and quality of solutions.

关键词： Two-sided matching material allocation preference deferred acceptance differential evolution

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Gravitational lensing by a black hole in effective loop quantum gravity

arXiv

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arXiv 2021年

作者： Fu, Qi-Ming Zhang, Xin Department of Physics College of Sciences Northeastern University Shenyang110819 China Institute of Physics Shaanxi University of Technology Hanzhong723000 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China

It is well known that general relativity is an effective theory of gravity at low energy scale, and actually quantum effects cannot be ignored in the strong-field regime. As a strong gravitational object, black hole plays a key role in testing the quantum effects of gravity in the strong-field regime. In this paper, we focus on black hole in effective loop quantum gravity and investigate what the influences are of the quantum effects on the weak and strong bending angles of light rays. We find that this black hole could be a Schwarzschild black hole, a regular black hole, a one-way traversable wormhole, or a two-way traversable wormhole for the different values of the quantum parameter, and the strong bending angle for this compact object exhibits two different divergent behaviors, i.e., the logarithmic divergence and non-logarithmic divergence. There are a series of relativistic images on both sides of the optical axis. Only the outermost one can be resolved as a single image, and all others are packed together at the limiting angular position. It is interesting to note that the angular separation between the outermost relativistic image and the others initially increases and then decreases as the quantum parameter increases, indicating that there is a maximum in the angular separation. The maximum is reached after the black hole becomes a wormhole, which can be taken as a signal for the formation of the wormhole. Moreover, the limiting angular position decreases as the quantum parameter increases but a little bounce occurs after the formation of the wormhole, and the relative magnification in magnitudes first decreases and then increases as the quantum parameter increases. © 2021, CC BY.

关键词： Gravitation

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The Gravitational-wave physics Ⅱ: Progress

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Science China(Physics,Mechanics & Astronomy) 2021年第12期64卷 18-67页

作者： Ligong Bian Rong-Gen Cai Shuo Cao Zhoujian Cao He Gao Zong-Kuan Guo Kejia Lee Di Li Jing Liu Youjun Lu Shi Pi Jian-Min Wang Shao-Jiang Wang Yan Wang Tao Yang Xing-Yu Yang Shenghua Yu Xin Zhang CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China Department of Astronomy Beijing Normal UniversityBeijing 100875China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China Kavli Institute for Astronomy and Astrophysics Peking UniversityBeijing 100080China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China School of Astronomy and Space Sciences University of Chinese Academy of SciencesBeijing 100049China Key Laboratory for Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study(HIAS)University of Chinese Academy of SciencesHangzhou 310024China MOE Key Laboratory of Fundamental Physical Quantities Measurements Hubei Key Laboratory of Gravitation and Quantum PhysicsNational Precise Gravity Measurement Facility(PGMF)Department of Astronomy and School of PhysicsHuazhong University of Science and TechnologyWuhan 430074China Asia Pacific Center for Theoretical Physics Pohang 37673Korea Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationShenyang 110819China Department of Physics Chongqing UniversityChongqing 401331China

It has been a half-decade since the first direct detection of gravitational waves, which signifies the coming of the era of the gravitational-wave astronomy and gravitational-wave cosmology. The increasing number of the detected gravitational-wave events has revealed the promising capability of constraining various aspects of cosmology, astronomy, and gravity. Due to the limited space in this review article, we will briefly summarize the recent progress over the past five years, but with a special focus on some of our own work for the key Project "Physics associated with the gravitational waves" supported by the National Natural Science Foundation of China. In particular,(1) we have presented the mechanism of the gravitational-wave production during some physical processes of the early Universe, such as inflation, preheating and phase transition, and the cosmological implications of gravitational-wave measurements;(2) we have put constraints on the neutron star maximum mass according to GW170817 observations;(3) we have developed a numerical relativity algorithm based on the finite element method and a waveform model for the binary black hole coalescence along an eccentric orbit.

关键词： gravitational wave gravitational-wave cosmology gravitational-wave astronomy numerical relativity

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Prospects for improving cosmological parameter estimation with gravitational-wave standard sirens from Taiji

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Science Bulletin 2020年第16期65卷 1340-1348,M0003页

作者： Ze-Wei Zhao Ling-Feng Wang Jing-Fei Zhang Xin Zhang Department of Physics College of SciencesNortheastern UniversityShenyang 110819China Ministry of Education's Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern UniversityShenyang 110819China Center for High Energy Physics Peking UniversityBeijing 100080China

Taiji,a space-based gravitational-wave observatory,consists of three satellites forming an equilateral triangle with arm length of 3×10^6 km,orbiting around the *** is able to observe the gravitationalwave standard siren events of massive black hole binary(MBHB)merger,which is helpful in probing the expansion of the *** this paper,we preliminarily forecast the capability of Taiji for improving cosmological parameter estimation with the gravitational-wave standard siren *** simulate fiveyear standard siren data based on three fiducial cosmological models and three models of MBHB’s formation and *** is found that the standard siren data from Taiji can effectively break the cosmological parameter degeneracies generated by the cosmic microwave background(CMB)anisotropies data,especially for dynamical dark energy *** constraints on cosmological parameters are significantly improved by the data combination CMB+Taiji,compared to the CMB data *** to the current optical cosmological observations,Taiji can still provide help in improving the cosmological parameter estimation to some *** addition,we consider an ideal scenario to investigate the potential of Taiji on constraining cosmological *** conclude that the standard sirens of MBHB from Taiji will become a powerful cosmological probe in the future.

关键词： Taiji Space-based gravitational-wave observatory Standard sirens Cosmological parameter estimation Dark energy

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Impacts of preferences on the emergence of cooperation

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Physical Review E 2020年第5期102卷 052414-052414页

作者： Shiping Gao Jinming Du Jinling Liang School of Mathematics Southeast University Nanjing 210096 China Institute of Industrial and Systems Engineering College of Information Science and Engineering Northeastern University Shenyang 110891 China Liaoning Engineering Laboratory of Operations Analytics and Optimization for Smart Industry Northeastern University Shenyang 110891 China Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education Shenyang 110891 China

Behavior decision making, where individuals can efficiently express their preferences for all options, has a great impact on cooperation. Hereby, we institute a minimal model in well-mixed populations where whether and how to sanction defectors are decided by cooperators via different decision-making mechanisms. The results illustrate that whether cooperation can outbreak depends on the cooperators' preferences for sanction and complying with the electoral outcome. We highlight the role of individuals' preferences in the emergence of cooperation and show that there exists an intermediate degree of the cooperators' preference for sanction at which the cooperators' preference for complying with the electoral outcome has a negligible impact on cooperation. We point out whether conformity facilitates the emergence of cooperation depends on the cooperators' preference for sanction. We find, compared with individual decision making, whether collective decision making is more conducive to promoting cooperation crucially depends on cooperators' preferences as well as the consensus required for employing sanction.

关键词： Evolutionary dynamics Collective behavior Evolutionary games Fitness models Stochastic analysis

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Evolution of cooperation under punishment

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Physical Review E 2020年第6期101卷 062419-062419页

Punishment has been considered as an effective mechanism for promoting and sustaining cooperation. In most existing models, punishment always comes as a third strategy alongside cooperation and defection, and it is commonly assumed to be executed based on individual decision rules rather than collective decision rules. Differently from previous works, we employ a democratic procedure by which cooperators cast votes independently and simultaneously for whether to impose punishment on defectors, and we establish a relationship between the cooperators' willingness to punish defectors (WTPD) and whether the punishment is inflicted on defectors. The results illustrate that the population can evolve to full cooperation under consensual punishment. It is noteworthy that, compared with autonomous punishment, whether consensual punishment is more in favor of cooperation crucially depends on the minimum number of votes required for punishment execution as well as the cooperators' WTPD. Our findings highlight the importance of collective decision making in the evolution of cooperation and may provide a mathematical framework for explaining the prevalence of democracy in modern societies.

关键词： Evolutionary dynamics

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Theoretical Study on Coal Gasification Behavior in CO2 Atmosphere Driven by Slag Waste Heat

SSRN

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SSRN 2023年

作者： Duan, Wenjun Yang, Shuo Han, Jiachen Wu, Qinting Li, Peishi Cheng, Peiwen Lv, Xiaojun Wang, Zhimei Yu, Qingbo School of Metallurgy Northeastern University No 11 Lane 3 Wenhua Road Heping District Liaoning Shenyang110819 China College of Energy and Environment Shenyang Aerospace University No. 37 Daoyi South Street Shenbei New District Liaoning Shenyang110136 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University No. 11 Lane 3 Wenhua Road Heping District Liaoning Shenyang110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Ministry of Education No. 11 Lane 3 Wenhua Road Heping District Liaoning Shenyang110819 China Northeastern University United States

Blast furnace slag, a main by-product of ironmaking process, contained high-quality sensible heat, accounting for almost 30% of total energy consumption in iron and steel industry. This paper proposed CO2 coal gasification method aimed at recovering waste heat from blast furnace slag. Based on Gibbs free energy minimization, influence of temperature, CO2/C, pressure and steam were investigated. Under optimal operating conditions at 1023~1198 K, CO2/C of 1.5~2.0 and atmospheric pressure, total amount of syngas was 2.78 kmol, with 67.1% CO and 8.79% H2. Addition of steam could adjust the compositions of syngas. H2/CO of syngas reached 1.0, 1.5 and 2.0 when H2O(g)/CO2 were 1.45/0.55, 1.73/0.27 and 1.95/0.05, which could be used as organic raw materials for chemical industry. Meantime, energy and exergy analysis were utilized to comprehend energy utilization effect of gasification reaction process. Energy and exergy efficiency of coal gasification were found to be 92.76% and 86.26%, respectively, under optimal operation conditions. For different syngas products, when H2O(g)/CO2 was 1.95/0.05, exergy loss was the lowest, with internal and external exergy loss amounting to 10.27% and 0.99% respectively. Utilizing coal gasification reaction was important for recovery of waste heat from blast furnace slag and reduction of CO2 emissions. © 2023, The Authors. All rights reserved.

关键词： Waste heat

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Two-sided based Material Allocation for Intermediate Inventory of Process industry

Two-sided based Material Allocation for Intermediate Invento...

引用

Chinese Control Conference (CCC)

作者： Yiran Li Ying Meng Yuanqing Xia School of Automation Beijing Institute of Technology Beijing China Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Shenyang China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

Two-sided matching is an effective decision methodology to solve resource allocation problem, aiming at satisfactions of two disjoint matching sides. Intermediate warehouse is designed to store semifinished products, which could ensure process industry logistics works continuously and flexibly. Allocating the surplus inventory materials to orders as a preprocess of production planning is a common method for made-to-order process manufacture. It relieves inventory pressure as well as improves material utilization. In this paper, a material-order two-sided matching model with consideration of both sides' preferences is formulated. Assessing both sides' satisfaction by complete and dynamic preference, the objective is to maximize the global matching preference and to get stable outcome. To solve the NP-hard problem efficiently, a tailored hybird algorithm PDADE is proposed. Firstly, a preference deferred acceptance based heuristic is designed to obtain high quality initial solution. Then, a series of improved differential evolution strategies considering real number encoding of sparse two-dimension matrix is designed to achieve near-optimal solutions in short time for practical large scale instances. According to experiments of actual production data instances, the proposed algorithm outperforms the commercial solver and standard DE both on run time and quality of solutions.

关键词： Nickel

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An Improved MOEA/D Algorithm for the Carbon Black Production Line Static and Dynamic Multiobjective Scheduling Problem

An Improved MOEA/D Algorithm for the Carbon Black Production...

引用

Congress on Evolutionary Computation

作者： Yao Wang Zhiming Dong Tenghui Hu Xianpeng Wang Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education China Liaoning Engineering Laboratory of operation Analytics and Optimization for Smart Industry Northeastern University Shenyang China Liaoning Key Laboratory of Manufacturing System and Logistics Northeastern University Shenyang China Institute of Industrial & Systems Engineering Northeastern University Shenyang China

ISBN: (数字)9781728169293

ISBN: (纸本)9781728169309

The make-to-order (MTO) manufacturers generally make production plans based on orders, which can help enterprises effectively avoid market risks, reduce market pressure and improve competitiveness. However, due to the characteristics of MTO production mode, the order static scheduling problem and rush order dynamic rescheduling problem have become more and more important for these MTO manufacturers. Therefore, in this paper, we take the packaging production line of a typical carbon black production enterprise as the research background to study the carbon black production line static and dynamic multiobjective scheduling problem. Firstly, multiobjective optimization models of both order static scheduling and rush order dynamic rescheduling are established. Then the improved MOEA/D algorithm combined the heuristic algorithm based on heuristic rules and discrete dynamic local search is developed to solve these two models. Based on the actual production data, eight instances of order static scheduling problems of different scales and four instances of rush order dynamic rescheduling problems of different scales are constructed respectively. Experimental results illustrate that the improved MOEA/D is effective and superior in solving these two problems.

关键词： Dynamic scheduling Job shop scheduling Mathematical model Heuristic algorithms Delays

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A Novel Speech Recognition Model with Bayesian optimization

A Novel Speech Recognition Model with Bayesian Optimization

引用

Chinese Automation Congress (CAC)

作者： Yunfei Zhang Meiling Xu Institute of Industrial & Systems Engineering Northeastern University Shenyang China Key Laboratory of Data Anlytics and Optimization for Smart Industry Northeastern University Minstry of Education Shenyang China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

In order to solve the problem of the speech recognition, this paper proposes a novel framework to process speech signals by using the deep fully convolutional neural network (DFCNN) as the acoustic model and the Transformer as the linguistic model. DFCNN can learn more about speech signals through a deep network structure, while Transformer's self-attention mechanism makes it an efficient linguistic model. In order to better extract the characteristic information of speech signal, we transform the speech signal into a two-dimensional language spectrum by frame division and Fourier transform. In this way, the language spectrum can be processed by using convolutional neural network, which has promising ability to process two-dimensional data. The output of the acoustic model is passed into the linguistic model, and a complete sentence is output. At the same time, considering that there are many hyper parameters in the model, in order to adjust these hyper parameters efficiently, we employ the Bayesian optimization algorithm to optimize the hyper parameters of the acoustic model and the linguistic model, so as to further improve the accuracy of speech recognition. Experimental results on speech recognition library THCHS30 show that compared with other models, the optimized model has higher recognition rate for audio and stronger generalization ability.

关键词： Speech recognition Acoustics Hidden Markov models Linguistics Speech processing optimization Modeling

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