Minimization of Vectors of Curvilinear Functionals on Second-Order Jet Bundle: Dual Program Theory by Mihai Postolache

“…They have chosen the suitable framework offered by the second-order jet bundle, and initiated an optimization theory for this class of problems by introducing necessary conditions. …”
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Conceptual model of sustainable development of pedagogical staff competences in quality assurance of higher education by Andrii Biloshchytskyi, Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Yurii Andrashko, Aidos Mukhatayev, Khanat Kassenov

“…In order to reduce the risks of failing to pass the course, some participants of the competence project proposed to form a pool of potential project participants. Methods of optimization theory were used to solve the problem of selecting participants in the competence project. …”
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Topological Optimization Design and Analysis of Ultra-short Harmonic Flexspline by Yan Li, Qiuping Liu, Yang Wang, Qianqian Liu

“…In order to study the ultra-short harmonic reducer with high performance， the topology optimization theory is introduced into the design of harmonic flexspline design. …”
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Calculation and Simulation of Non-circular Planetary Gear Water Motor Machining Parameter based Multiple Objective Optimization by Liu Zhiping, Su Jianxin, Deng Xiaozhong, Xu Zengjun

“…By using the multiobjective optimization theory,the mathematical model to solve the pitch curve of non- circular planetary gear is established,the calculation theory of non- circular gear tooth profile is proposed,the program of solving the pitch curve and tooth profile coordinate calculation is developed based on the software of Matlab. …”
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Study on Active and Passive Control of Order Vibration for Electric Vehicle Power Train by Yuanyuan Zhang, Peng Yu, Jian Wang

“…Firstly， motor control strategy is optimized and the output torque ripple is reduced by inhibiting main harmonic currents of motor d-q axial，based on harmonic optimization theory. Secondly，in consideration of active control effect，the best gear modification parameters are obtained，transmission error volatility is reduced by joint optimization with elitist retention genetic algorithm and gear engagement finite element model. …”
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Research of the System Composition Analysis of Double-track Tracked Robot and Motion Performance by Wu Ziyue, Wang Dongce, Gao Yadong

“…Based on the centroid kinematics and optimization theory,the relationship between the maximum obstacle clearance height of the robot and the elevation angle of the front swing arm and the step height under the critical condition of the robot stability are obtained. …”
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Study on distributed and dynamic resource management for delay-sensitive sensor network by Wei LIU, Jun LIU

“…The delay-aware dynamic resource management problem was investigated in sensor network,with a focus on resource allocation among the sensors and power control along the time.By taking account of average delay requirements and power constraints,the considered problem was formulated into a stochastic optimization problem.Inspired by Lyapunov optimization theory,the intractable stochastic optimization problem was transformed into a tractable deterministic optimization problem,which was a mixed-integer resource management problem.By exploiting the specific problem structure,the mixed-integer resource management problem was equivalently transformed into a single variable problem,and the cooperative distributed method was present to effectively solve it with guaranteed global optimality.Finally,a dynamic resource management algorithm was proposed to solve the original stochastic optimization problem.Simulation results show the performance of the proposed dynamic algorithm and reveal that there exists a fundamental tradeoff between delay requirements and power consumption.…”
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Modal and Vibration Combined Optimization Analysis of Vertical Mill Reducer by Lin Sheng, Lu Yingrong

“…Focusing on the difficulty of the combination optimization of modal from transmission system and vibration from structure system,taking the vertical mill reducer gearbox structural system geometrical parameter and transmission system parameter as design variables,to avoid the nature frequency and specific frequency overlapped and minimum the vibration of the reducer gearbox as the objective function,the volume,Von Mises stress and comprehensive displacement of the reducer gearbox as constraint condition,based on the multi- objective optimization theory,the weigh- adding of modal and vibration optimization is carried out. …”
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Coverage in airborne backbone network by Bo ZHENG, Hengyang ZHANG, Yong LI, Wei CHENG

“…The high-altitude long-durance unmanned aerial vehicle (HALE-UAV) equipped with directional antenna and the cuboid-shaped air corridor (AC) were taken as the study objects,and the basic idea was to extract the invariant coverage area of moving spherical cones,cylinder,as the basic component to fill AC.The general goal was to employ HALE-UAV as few as possible under the condition that the height of the cylinder was larger than that of AC.The circular and triangular orbits of HALE-UAV were analyzed in geometry respectively,and the mathematical expressions of the radius and height of the cylinder were derived.Then two coverage schemes were introduced.Through comparing the two schemes by optimization theory,the optimal coverage strategy was derived.Results show that the circular orbit is better than the triangular orbit.Moreover,the optimal solution is to employ the quasi-static floating platforms,and the suboptimal is to adopt the circular orbit of a small radius,or the triangular orbit of a small side,with a HALE-UAV on an orbit.…”
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Scrambler blind recognition method based on soft information by Ze-liang CHEN, Hua PENG, Ke-xian GONG, Pei-dong YU

“…Two scrambler blind recognition methods based on soft information were proposed for received signal in non-cooperative ways.The first method established a cost function of the scrambler coefficients by using the soft information,and adopted the optimization theory of real number field for positive solution.So it didn’t need to traverse the closed set of test polynomial any more.The second method built conformity degree concept with the soft information,and used the size of conformity of each test scrambler polynomial as the discriminant criteria.So it made more full use of the received information compared to the hard sentence recognition algorithm.Simulation results show that the first method can shorten the recognition time of a synchronous scrambler polynomial from 5 min 18 s to 8 s compared with the traversal method put forward by Cluzeau,and the second method has 2 dB SNR gain when to achieve the relatively high accuracy compared with the hard sentence recognition algorithm.…”
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Two-Stage Robust Optimization Model for Uncertainty Investment Portfolio Problems by Dongqing Luan, Chuming Wang, Zhong Wu, Zhijie Xia

“…Therefore, this paper constructs a two-stage robust optimization (TS-RO) model by introducing robust optimization theory. In case experiments, data crawler technology is used to obtain actual data from real websites, and a variety of methods are used to verify the effectiveness of the proposed model in dealing with uncertainty. …”
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Energy-efficient and QoS-supported deployment strategy of dense Macro-Femto cellular network by Yun LI, Chunsheng WANG, Bin CAO, Qilie LIU

“…With the exponentially increasing of users’ demand for mobile data traffic,massive small cells have been deployed to satisfy the users’ quality of service (QoS) by operators.However,a significant energy would be consumed caused by dense deployment.To this end,a dense heterogeneous cellular network deployment strategy was proposed with QoS guarantee to decline system energy consumption.Firstly,a dense Macro-Femto biased cellular network was used to build the network model,the two QoS indicators of SINR coverage and user average rate was analyzed by stochastic geometry theory.Then,under the condition of QoS constraint,average spatial power consumption (ASPC) was taken as the optimization goal,optimal deploy density and transmission power of Femto were achieved by using optimization theory.Finally,the experimental results show that,comparing with the traditional strategy which only considering base station density,the proposed strategy has advantages in terms of energy efficiency while QoS guarantee.…”
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Routing algorithm for railway monitoring linear WSN based on improved PSO by Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU

“…To solve the problems of short network lifetime and large data transmission delay, caused by unbalanced node energy consumption of linear wireless sensor network in railway monitoring scenario, a routing algorithm based on particle swarm optimization theory and breadth first search was proposed.The fitness function was constructed based on the relative energy consumption, spacing and load of candidate cluster heads.The local search ability of particle swarm algorithm was enhanced by adjusting the inertia weight coefficient to set up the cluster head optimal set.Meanwhile, a path cost function driven by energy consumption and delay was built up, and the optimal main path from the source node to the sink node was obtained by breadth first search.Lastly, a Q-learning alternative path updating and route maintenance mechanism based on discrete Markov decision process (MDP) was designed.Simulation results show that the proposed algorithm can balance the node energy consumption effectively, and has also advantages in prolonging the network lifetime and reducing the data transmission delay.…”
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Superconducting quantum computing optimization based on multi-objective deep reinforcement learning by Yangting Liu

“…Based on this, we improved a multi-objective deep reinforcement learning method in mathematical convex optimization theory for multi-process quantum optimal control optimization. …”
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Quantitative analysis and modeling of ride sharing behavior based on internet of vehicles by Cai Liang

“…With the rapid development of the internet of vehicles technology, the systematic study of private car sharing behavior and key technologies of sharing systems, and the construction of a road network spatiotemporal resource dynamic optimization theory and method guided by sharing priority in the internet of vehicles environment is a research work with great theoretical and practical values. …”
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Towards load adaptive routing based on link critical degree for delay-sensitive traffic in IP networks by Yang YANG, Jia-hai YANG, Hui WANG, Chen-xi LI, Yu-ding WANG

“…Firstly, an optimization objective function has been put forward; and then decomposed into several sub-functions by using convex optimization theory; finally, the optimization objective function and sub-functions were transformed into a simple distributed protocol. …”
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Development of Process Automation System for Structural Design of the Wind Turbine Gearbox by Dong Huimin, Han Mengke, Qiu Jun, Wang Delun, Liang Shiwen, Jia Ping

“…The current experience-dominated structural design process separates the structural design from CAE analysis in the development of a new wind turbine gearbox,which leads to a quite long-term development cycle and the redundancy of structural materials.Consequently,a new structural design process is presented based on topological optimization theory and combined with CAE.Through a secondary development for Hyperworks with C# and TCL / TK language,a new process automatic system characterized by lightweight structure for the structural design of wind turbine gearboxes is developed.The operability of the system is testified by the instance of designing a planet carrier.The case indicates that the process automatic system can lead designers to finish the lightweight-oriented structural design for wind turbine gearbox parts,and the pre and post processing efficiency can increase by 90% than the current process,and the development cycle of new products of wind turbine gearbox is shorten enormously.…”
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Two-Stage Robust Counterpart Model for Humanitarian Logistics Management by Feng Yang

“…Based on the actual situation of insufficient supply during the humanitarian logistics management, this paper using optimization theory establishes a two-stage stochastic chance constrained (TS-SCC) model. …”
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Graphical Optimization Method for Symmetrical Bidirectional Corridor Progression by Kai Lu, Shuyan Jiang, Yiming Zhao, Yongjie Lin, Yinhai Wang

“…Therefore, based on the in-depth discussion of the graphical optimization theory mechanism, a process-oriented and high-efficiency graphical method for symmetrical bidirectional corridor progression is proposed in this study. …”
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A Topology Control Algorithm for Sensor Networks Based on Robust Optimization by Junfeng Qiao, Sanyang Liu, Wei Duan

“…Considering the uncertainty of distance between nodes, a distributed topology control algorithm named as LRMST, which is based on the local minimum spanning tree (LMST) algorithm, is proposed by applying the 0-1 robust discrete optimization theory. Firstly, when only the cost coefficients are subject to uncertainty, it is proved that the robust counterpart of the 0-1 discrete optimization problem on n variables can be solved by solving at most n + 1 - Γ deterministic problems, where Γ denotes the number of cost coefficients which change in an uncertainty set. …”
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