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Quantum-Inspired Optimization Algorithm for 3D Multi-Objective Base-Station Deployment in Next-Generation 5G/6G Wireless Network 认领 引用
1
作者 Yao-Hsin Chou Cheng-Yen Hua +1 位作者 Ru-Wei Tseng Shu-Yu Kuo 《Computers, Materials & Continua》 SCIE EI 2026年第5期981-996,共16页
The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)w... The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)while maintaining cost-efficiency and sustainable deployment.Traditional strategies struggle with complex 3D propagation,building penetration loss,and the balance between coverage and infrastructure cost.To address this challenge,this study presents the first application of a Global-best Guided Quantum-inspired Tabu Search with Quantum-Not Gate(GQTS-QNG)framework for 3D base-station deployment optimization.The problem is formulated as a multi-objective model that simultaneously maximizes coverage and minimizes deployment cost.A binary-to-decimal encodingmechanism is designed to represent discrete placement coordinates and base station types,leveraging a quantum-inspired method to efficiently search and refine solutions within challenging combinatorial environments.Global-best guidance and tabu memory are integrated to strengthen convergence stability and avoid revisiting previously explored solutions.Simulation results across user densities ranging from 1000 to 10,000 show that GQTS-QNG consistently finds deployment configurations achieving full coverage while reducing deployment cost compared with the state-of-the-art algorithms under equal iteration times.Additionally,our method generates welldistributed and structured Pareto fronts,offering diverse planning options that allow operators to flexibly balance cost and performance requirements.These findings demonstrate that GQTS-QNG is a scalable and efficient algorithm for sustainable 3D cellular network deployment in B5G/6G urban scenarios. 展开更多
关键词 3D network deployment quantum-inspired optimization B5G/6G multi-objective optimization coverage deployment cost urban wireless planning
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Dynamic parameters prediction of the spatial deployable mechanism:a hybrid approach combining physics-based and data-driven models 认领 引用
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作者 Yanhe Tao Qintao Guo +4 位作者 Jin Zhou Cheng Yi You Zhang Xiaofei Liu Ruiqi Chen 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期535-549,共15页
Accurate prediction of the spatial mechanism's dynamic parameters in microgravity deployment simulations is crucial for identifying potential faults and ensuring precise gravitational compensation.Traditional engi... Accurate prediction of the spatial mechanism's dynamic parameters in microgravity deployment simulations is crucial for identifying potential faults and ensuring precise gravitational compensation.Traditional engineering models are often inaccurate,primarily because of insufficient experimental data and incomplete understanding of physical phenomena,which impedes model bias reduction in information-poor scenarios.We present a novel hybrid approach aimed at improving the predictive accuracy of the dynamic behavior of spatial deployable mechanisms.The graph convolutional network-temporal convolutional network(GCN-TCN)model,a type of deep learning architecture,is utilized for its expertise in forecasting spatio-temporal data through multi-step predictions.Next,the adaptive bandwidth kernel density estimation technique is applied to estimate the probability density function of residuals from the testing set of the GCN-TCN,quantifying predictive uncertainty.The predictive information is further refined using Bayesian inference,integrating a priori knowledge from physics-based models with data from data-driven models to yield robust posterior predictions.The proposed methodology is validated and shown to be robust through rigorous numerical simulations and experimental validation,demonstrating its ability to provide accurate and reliable predictions for the deployment of spatial mechanisms. 展开更多
关键词 Deep learning Kernel density estimation Data fusion Spatial deployable mechanisms Uncertainty quantification Hybrid approach Bayesian
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Multi-objective topology optimization for cutout design in deployable composite thin-walled structures 认领 引用
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作者 Hao JIN Ning AN +3 位作者 Qilong JIA Chun SHAO Xiaofei MA Jinxiong ZHOU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期674-694,共21页
Deployable Composite Thin-Walled Structures(DCTWS)are widely used in space applications due to their ability to compactly fold and self-deploy in orbit,enabled by cutouts.Cutout design is crucial for balancing structu... Deployable Composite Thin-Walled Structures(DCTWS)are widely used in space applications due to their ability to compactly fold and self-deploy in orbit,enabled by cutouts.Cutout design is crucial for balancing structural rigidity and flexibility,ensuring material integrity during large deformations,and providing adequate load-bearing capacity and stability once deployed.Most research has focused on optimizing cutout size and shape,while topology optimization offers a broader design space.However,the anisotropic properties of woven composite laminates,complex failure criteria,and multi-performance optimization needs have limited the exploration of topology optimization in this field.This work derives the sensitivities of bending stiffness,critical buckling load,and the failure index of woven composite materials with respect to element density,and formulates both single-objective and multi-objective topology optimization models using a linear weighted aggregation approach.The developed method was integrated with the commercial finite element software ABAQUS via a Python script,allowing efficient application to cutout design in various DCTWS configurations to maximize bending stiffness and critical buckling load under material failure constraints.Optimization of a classical tubular hinge resulted in improvements of 107.7%in bending stiffness and 420.5%in critical buckling load compared to level-set topology optimization results reported in the literature,validating the effectiveness of the approach.To facilitate future research and encourage the broader adoption of topology optimization techniques in DCTWS design,the source code for this work is made publicly available via a Git Hub link:http://gffzz188fe103f8f1460askxx9f09wqpbn6vwu.ffgz.tsg.suse.edu.cn/jinhao-ok1/Topo-for-DCTWS.git. 展开更多
关键词 Composite laminates Deployable structures Multi-objective optimization Thin-walled structures Topology optimization
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Bi-objective optimization of orbital transfer vehicle based launch and deployment process for LEO constellation 认领 引用
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作者 Peng HAN Chao HUANG +1 位作者 Chuanjiang LI Yanning GUO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期578-597,共20页
This paper addresses the optimization of Launch and Deployment(L&D)strategies for Low Earth Orbit(LEO)satellite constellations using Orbital Transfer Vehicles(OTVs).The problem is formulated as a bi-objective comb... This paper addresses the optimization of Launch and Deployment(L&D)strategies for Low Earth Orbit(LEO)satellite constellations using Orbital Transfer Vehicles(OTVs).The problem is formulated as a bi-objective combinatorial optimization model that simultaneously minimizes the number of launches and the average fuel consumption,thereby reducing launch costs and improving mission reliability.To enhance solution diversity,the∊-constraint method is employed to decompose the original problem into a series of constrained single-objective subproblems.A Cluster and Nearest Sorting initialized Genetic Algorithm with Local Search(CNS-LSGA)is developed to efficiently solve these subproblems.The CNS initialization mechanism is specifically designed to avoid infeasible solutions caused by limited OTV fuel and the high fuel requirements of LEO orbital maneuvers,while two local search operators are incorporated to improve local exploitation.Comparative evaluations across three LEO constellation architectures demonstrate that the proposed framework is both effective and robust,and can consistently obtain greater solution diversity and higher-quality results than the established population-based multi-objective algorithms. 展开更多
关键词 Launch and deployment Bi-objective optimization Orbital transfer vehicle Low Earth Orbit(LEO)constellation e-constraint method Genetic algorithm
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Amplitude-Ensemble Quantum-Inspired Tabu Search Algorithm forWireless Sensor Network Deployment 认领 引用
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作者 Kuo-Chun Tseng I-Chia Chen Yu-Chieh Cho 《Computers, Materials & Continua》 SCIE EI 2026年第9期2413-2448,共36页
Wireless Sensor Networks(WSNs)are important infrastructure for smart-city applications,such as environmental monitoring,public safety,and smart transportation.However,finding effective sensor locations is an NP-hard p... Wireless Sensor Networks(WSNs)are important infrastructure for smart-city applications,such as environmental monitoring,public safety,and smart transportation.However,finding effective sensor locations is an NP-hard problem because a deployment must satisfy sensing coverage and communication connectivity while minimizing the number of sensors.Following the basic framework of a previous study,this study replaces the original optimization algorithmwith the Amplitude-Ensemble Quantum-inspired Tabu Search(AEQTS)algorithmand retains the same entanglement-like initialization strategy,resulting in the proposed AEQTSwE(AEQTS with Entanglement)framework for theWSNdeployment problem.AEQTSwE uses a quantum-inspired search mechanism and an ensemble update strategy to explore the solution space more efficiently,while the retained initialization strategy provides highquality initial deployments.Experimental results show that AEQTSwE reduces the number of deployed sensors while satisfying the required coverage and connectivity constraints.It also converges faster and producesmore stable solutions than existing approaches under different conditions.Sensitivity,ablation,statistical,and complexity analyses further show that AEQTSwE has low parameter sensitivity,stable performance,and potential for larger and more complex deployment scenarios. 展开更多
关键词 Wireless sensor network deployment sensor deployment quantum-inspired optimization smart-city applications
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NPO-BAND:Number and placement optimization for backhaul-aware UAV network deployment 认领 引用
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作者 Sining Yang Bo Zhang Jinshu Su 《Digital Communications and Networks》 SCIE EI CSCD 2026年第4期630-639,共10页
In emergency communication scenarios,exploiting Unmanned Aerial Vehicles(UAVs)as relays to provide wireless communication services for ground users has emerged as a promising application.A key challenge in this resour... In emergency communication scenarios,exploiting Unmanned Aerial Vehicles(UAVs)as relays to provide wireless communication services for ground users has emerged as a promising application.A key challenge in this resource-constrained application is deploying the minimum number of UAVs to form an aerial backhaul network to ensure coverage,which composes the Number and Placement Optimization for the Backhaul-Aware Network Deployment(NPO-BAND)problem.In this paper,we first formulate the NPO-BAND problem based on the geometric disk coverage model.Then,we propose a low-complexity heuristic method to solve this NP-hard problem.The proposed method contains a Very Important Point-Choosing(VIPC)strategy and a Backhaul-Aware Local Coverage(BALC)algorithm.Specifically,the VIPC strategy weighs up the backhaul connectivity constraint and the ground user coverage to choose the VIP,while the BALC algorithm solves the extended 1-center problem to determine the deployment location of each UAV.Simulation results show that the proposed method can effectively reduce the number of deployed UAVs,saving up to 25%-50%of that compared to existing methods across varying numbers and area sizes in clustered distribution patterns of ground users. 展开更多
关键词 Unmanned aerial vehicles Multi-UAV network Backhaul-aware deployment Number optimization
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Temporal pattern clustering and LightGBM-based analysis of factors influencing rural photovoltaic deployment in China 认领 引用
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作者 LI Ruolan ZHANG Xunhe LI Erling 《Journal of Geographical Sciences》 SCIE CSCD 2026年第8期1988-2012,共25页
Rural energy transitions are essential for climate governance and sustainable development,particularly in the Global South.However,the evolution of rural photovoltaic(PV)deployment remains insufficiently understood,pa... Rural energy transitions are essential for climate governance and sustainable development,particularly in the Global South.However,the evolution of rural photovoltaic(PV)deployment remains insufficiently understood,partly because existing research rarely distinguishes rural deployment from urban expansion.To address this gap,this study introduces an urban-rural differentiated framework to identify rural PV deployment in China.The analysis employs Moran's I,dynamic time warping(DTW),K-means clustering,LightGBM,and SHAP to examine the spatial distribution,temporal evolution,and driving mechanisms using prefecture-level data from 2013 to 2022.The results demonstrate that rural PV deployment is highly uneven and spatially clustered,with its evolution divided into four distinct phases:high growth,steady growth,volatile growth,and low growth.Path dependence is the most consistent predictor across all types,although the enabling conditions for further expansion differ.Industrial agglomeration exerts a greater influence in high-growth regions,while digital finance and service-related infrastructure are more significant in steady-growth regions.Volatile-growth regions remain insufficiently stabilized,and low-growth regions are more constrained by land and solar resources.These findings indicate that the rural PV transition in China does not follow a single national pathway;instead,it is a geographically uneven,mechanism-specific process,which highlights the need for more differentiated rural energy governance. 展开更多
关键词 rural energy transition rural PV deployment spatiotemporal analysis DTW clustering machine learning
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Design,optimization,and validation of a bistable modified Kresling origami structure for deployable space capsules 认领 引用
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作者 Sicheng LI Yuxiang ZHANG +2 位作者 Ping XIANG Minger WU Zhi ZHUANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期272-289,共18页
The multi-stability of non-rigid origami-based structures,such as Kresling origami structures,has shown great potential for creating deployable and adaptable engineering systems.This study explores the design and opti... The multi-stability of non-rigid origami-based structures,such as Kresling origami structures,has shown great potential for creating deployable and adaptable engineering systems.This study explores the design and optimization of a deployable,bistable origami structure using a modified Kresling crease pattern.By introducing truncations between layers,the traditional Kresling design is adapted into a multi-layer deployable structure with integral bistability.A parametric model of the modified structure was developed,enabling visualization and optimization of design parameters.Non-dominated Sorting Genetic Algorithm II(NSGA-II)was applied to optimize the folding ratio and energy barrier,identifying configurations that were compact when folded and easier to deploy.Numerical simulations validated the bistable behavior,confirming structural stability after folding and deploying.Scaled models were tested for deployability through inflation and load-bearing capacity under puncture conditions to verify practical functionality.The results demonstrate the structure’s robust bistability and its ability to withstand internal pressure variations.These findings suggest that the modified Kresling origami structure is promising for applications in inflatable-deployable space capsules and habitats. 展开更多
关键词 Bistability Deployable structures Inflatable structures Kresling origami Parametric model Performance optimization
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Origami principle in space deployable membrane structures:Mechanism,application and prospects 认领 引用
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作者 Junhao WU Kangjia FU +5 位作者 Sunquan YU Xuesong WU Qi ZHANG Zongyu WU Yong ZHAO Xiang ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期298-329,共32页
The accelerated evolution of space technology has elevated the importance of high power and lightweight attributes in satellite design.In response to the conflict between the demand for large-scale,high-power payloads... The accelerated evolution of space technology has elevated the importance of high power and lightweight attributes in satellite design.In response to the conflict between the demand for large-scale,high-power payloads and the need for lightweight,compact platforms,flexible space origami membrane structures have emerged as a potential solution.These structures possess the ability to overcome the limitations of traditional deployable mechanisms.Their geometric reconfiguration capabilities,characterized by high folding ratios,effectively satisfy the high-power performance demands.Thus,this paper begins with an overview of the design and application of space origami membranes before investigating the design of creases,deployable mechanisms,and the close connection between the two,focusing on the origami principle.This section introduces various crease types with different motion dimensions,folding characteristics,advantages,disadvantages,and optimization methods.Then,the deployable mechanisms'structures,principles,and performance characteristics in three unfolding spatial dimensions are presented comprehensively.Based on the preceding sections,this paper reviews the application of the origami principle to spacecraft solar arrays,antennas,solar sails,drag sails,and light shade structures,considering the current status,application purpose,and effect.Finally,the development trend of space origami membrane structures is analyzed. 展开更多
关键词 Crease design Deployable mechanisms Membrane structures Origami principle Spacecraft
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Effects of ground-based camera deployment parameters on SfM-Based 3D reconstruction of deformation features on stepped slopes 认领 引用
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作者 SHU Yunlong NIE Wen +4 位作者 ZHU Tianqiang MEHMOOD Mudassir YU Wen LIU Aixing KONG Qiuping 《Journal of Mountain Science》 SCIE CSCD 2026年第5期1941-1955,共15页
Stepped slopes are common in mountainous regions and are characterized by pronounced benches and risers,which generate strong occlusions during ground-based image acquisition and limit the accuracy of Structure-from-M... Stepped slopes are common in mountainous regions and are characterized by pronounced benches and risers,which generate strong occlusions during ground-based image acquisition and limit the accuracy of Structure-from-Motion(SfM)-based 3D reconstruction of surface deformation features.Despite the increasing application of SfM in slope monitoring,practical guidelines for optimizing ground-based camera deployment on stepped terrains remain limited.To address this gap,this study investigates the effects of ground-based camera deployment parameters on SfM reconstruction accuracy through geometrically scaled physical modeling and field validation.A 1:10 physical model of a rainfall-induced stepped slope was constructed to reproduce representative surface cracking patterns,with rainfall applied solely to induce deformation rather than treated as an experimental variable.Camera height,layout type,inter-camera angular interval,and camera number were systematically varied under controlled single-elevation configurations.Reconstruction accuracy was evaluated using the mean relative error between manually measured and SfM-derived crack widths.The results show that deployment geometry strongly governs reconstruction performance.A camera height of approximately one-third of slope height provides a favorable balance between spatial resolution and coverage.Compared with conventional horizontal layouts,fan-shaped configurations significantly reduce occlusion effects and improve crack-width measurement accuracy.Increasing the number of cameras generally reduces reconstruction error,but the improvement becomes marginal beyond four to five cameras under single-elevation deployment conditions.Under the optimal configuration,the physical model achieved a minimum mean relative error of 4.3%,while the field application at a prototype stepped slope yielded a mean relative error of 12.2%,which is acceptable for routine engineering monitoring.These findings provide practical and cost-effective guidance for ground-based SfM monitoring of deformation on stepped slopes in mountainous terrain. 展开更多
关键词 SfM Ground-based photogrammetry Stepped slopes Camera deployment parameters Crack-width measurement
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Design and analysis of modular truss deployable antenna mechanism based on tetrahedral basic unit mechanism with dual height positioning nodes 认领 引用
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作者 Enbo LIU Yongsheng ZHAO +5 位作者 Tengfei CAO Shudan LI Bo CHEN Xinlu WEI Yundou XU Jiantao YAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第2期593-608,共16页
Modular truss space deployable antennas are key for future large aperture,high precision antennas,already proven in various in-orbit applications globally.This paper introduces a design method for a tetrahedral basic ... Modular truss space deployable antennas are key for future large aperture,high precision antennas,already proven in various in-orbit applications globally.This paper introduces a design method for a tetrahedral basic unit mechanism with dual height positioning nodes.A parametric model is established,and its DOF are analyzed to confirm the mechanism's validity.The new tetrahedral basic unit mechanism constructed by this method is a single DOF mechanism and can locate different parabolic node heights.In order to further adapt to the parabolic and large aperture requirements of the deployable antenna of the truss,a combination unit and modular unit mechanism are developed based on this tetrahedral unit.The DOF and deployment characteristics of the modular unit mechanism are analyzed and validated through simulations.Various networking methods for the modular units are proposed,followed by a comprehensive performance comparison of different modular truss deployable antenna mechanisms.A prototype model of the modular unit mechanism is also developed,with deployment experiments demonstrating the mechanism's simplicity,low DOF,and large deployment ratio.The findings of this study provide a theoretical and technical basis for the future design and development of truss deployable antenna mechanisms. 展开更多
关键词 Degree of freedom(DOF) Deployable truss antenna Dual height node positioning Modularity Screw theory Tetrahedral unit
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A general construction method of reconfigurable deployable polyhedral mechanisms with the circumscribed sphere 认领 引用
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作者 Shuo Zhang Ruiming Li +1 位作者 Xianhong Zhang Yan-an Yao 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期192-202,共11页
The current research of the construction of reconfigurable deployable polyhedral mechanisms(RDPMs) has predominantly focused on regular and Archimedean polyhedra.However,the construction methods for RDPMs based on non... The current research of the construction of reconfigurable deployable polyhedral mechanisms(RDPMs) has predominantly focused on regular and Archimedean polyhedra.However,the construction methods for RDPMs based on non-regular polyhedra remain largely unexplored.This paper presents a novel method to construct RDPMs with the circumscribed sphere.First,the mathematical constraints for the polyhedra based on circumscribed spheres are proposed,including single,double,and multiple circumscribed circles.By utilizing the reconfigurable properties of angulated elements,a series of reconfigurable angulated elements(RAEs) with different included angles are designed.A general method for constructing RDPMs is proposed by inserting RAEs into the vertex axes and the face axes of non-regular polyhedra with circumscribed spheres.Two RDPMs are constructed,which can achieve Hoberman sphere motion(HSM) and radially reciprocating motion(RRM).Next,the degree of freedom in HSM configuration is determined by using screw theory.Finally,RDPMs with a large ratio are constructed by inserting straight elements into RAEs.A prototype is manufactured to verify the feasibility of the proposed method.This research proposes a generalized method for constructing RDPMs with the circumscribed sphere,thus significantly expanding the range of polyhedral bases applicable to RDPMs. 展开更多
关键词 Reconfigurable mechanisms Deployable mechanisms Construction method Angulated element
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Energy-Efficient Network Deployment and Resource Allocation in IAB Aerial-Terrestrial Network 认领 引用
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作者 Wang Wei Sheng Min +2 位作者 Chen Xuhui Liu Junyu Li Jiandong 《China Communications》 SCIE EI CSCD 2026年第3期330-347,共18页
This paper aims to improve energy efficiency(EE)of the integrated access and backhaul(IAB)aerial-terrestrial network,facilitating rapid and adjustable network infrastructure deployment.This is challenging,as interfere... This paper aims to improve energy efficiency(EE)of the integrated access and backhaul(IAB)aerial-terrestrial network,facilitating rapid and adjustable network infrastructure deployment.This is challenging,as interference generated by backhaul and access links degrades network throughput,and power imbalance between these links increases overall energy consumption.To this end,we jointly optimize aerial base station(ABS)deployment,user association,and downlink power allocation for both terrestrial base station and ABSs to maximize network EE.Specifically,using fractional programming,the EE maximization problem is transformed into a subtractive-form parametric problem,and then decomposed into ABS deployment and resource allocation subproblems.A hybrid algorithm combining particle swarm optimization and simulated annealing is proposed to solve the ABS deployment subproblem,determining ABS spatial configurations and updating power allocation given fixed user association.Meanwhile,a dynamic power allocation in response to network load is designed to solve the resource allocation subproblem.Furthermore,considering the quality of service requirements of ground users and the transmit power constraints of base stations,a joint EE optimization algorithm is proposed to enhance the network EE.Simulation results validate the effectiveness of the proposed methods in improving network EE,especially in scenarios involving more deployed ABSs. 展开更多
关键词 aerial-terrestrial network energy efficiency integrated access and backhaul(IAB) network deployment resource allocation
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A Collaborative Deployment Method of UAV Hangar Siting for Forest Inspection 认领 引用
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作者 QIAN Long LIU Jixin +2 位作者 JIANG Hao ZENG Weili YANG Zhao 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第3期371-385,共15页
The deployment of unmanned aerial vehicle(UAV)hangars is critical to the efficiency of forest inspections,significantly influencing both infrastructure construction costs and operational expenses.Existing research on ... The deployment of unmanned aerial vehicle(UAV)hangars is critical to the efficiency of forest inspections,significantly influencing both infrastructure construction costs and operational expenses.Existing research on hangar selection often overlooks the complex constraints posed by forest environments,such as topographical variability,power limitations,and coverage demands.To tackle these challenges,this paper presents a multiobjective optimization approach for UAV hangar selection in forest environments,aiming to reduce construction costs while maximizing coverage under complex topographical constraints.The process begins with the preliminary selection of candidate hangars,utilizing geographic data such as the digital elevation model(DEM),meteorological data,and power/signal coverage.A multi-criteria decision analysis(MCDA)method evaluates and scores candidates based on rigid and flexible criteria,including topographical suitability,wind speed,and power supply availability.A multi-objective optimization model is then developed to optimize the layout of hangars,incorporating critical constraints such as topographical characteristics,UAV power limits,and coverage redundancy.To solve this optimization problem,the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)is applied.Experimental results demonstrate that the proposed method outperforms traditional approaches,such as the greedy algorithm and the single-objective genetic algorithm.Specifically,the NSGA-Ⅱmethod reduces the number of hangars by 8.3%,and increases the coverage by 1.6%.It also significantly accelerates the convergence,demonstrating superior performance and efficiency.This methodology provides a comprehensive solution for UAV deployment in forest inspections and can be adapted to other complex topography. 展开更多
关键词 forest inspection unmanned aerial vehicle(UAV)hangar deployment multi-criteria decision analysis(MCDA) topographical constraints multi-objective optimization
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Optimization strategy for batch launch deployment of large-scale low earth orbit constellations based on multimodal transportation network model 认领 引用
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作者 Junru LIN Tiantian ZHANG Min HU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期518-538,共21页
Large-scale Low Earth Orbit(LEO)constellations have become a focal point due to their capability to provide round-the-clock high-fidelity information services.However,their efficient and economical batch deployment fa... Large-scale Low Earth Orbit(LEO)constellations have become a focal point due to their capability to provide round-the-clock high-fidelity information services.However,their efficient and economical batch deployment faces severe challenges stemming from growing demands and multiple constraints,with existing methods struggling to effectively address the computational complexity in large-scale scenarios.Addressing this pressing need,this study proposes an innovative deployment optimization framework.Its core lies in constructing a novel partial time-expanded network that significantly reduces(over 90%)redundant links through feasibility pruning and hierarchical aggregation strategies,effectively tackling the exponential growth of constraints inherent in traditional models,and proposing an efficient hybrid algorithm integrating column generation and A*search,which,combined with a subproblem filter,significantly enhances the solution efficiency and scalability for large-scale problems.The framework supports dual-channel,multi-configuration rocket strategies and achieves flexible deployment under multiple mission triggers through weighted optimization.The research demonstrates that the proposed method can effectively reduce deployment costs,improve optimization efficiency,and provide reliable decision support for large-scale constellation deployment. 展开更多
关键词 Column generation Constellation deployment Mixed integer programming:Satellite constellation Space logistics network model
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Configuration design and dynamics analysis of large-scale planar deployable antenna based on Hamiltonian circuits 认领 引用
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作者 Zhexuan Qian Qiuyue Zhong +1 位作者 Qian Zhang Jianguo Cai 《Space Solar Power and Wireless Transmission》 2026年第2期67-78,共12页
This paper presents a novel two-dimensional deployable planar antenna mechanism that targets the key challenges of large-aperture space structures,with an emphasis on improving stiffness and deployment reliability.Bui... This paper presents a novel two-dimensional deployable planar antenna mechanism that targets the key challenges of large-aperture space structures,with an emphasis on improving stiffness and deployment reliability.Building on thick-panel origami theory,we develop a modular architecture that can be seamlessly scaled up to a 4 x 5 array while preserving consistent kinematic compatibility across modules.The central idea is to formulate folding/deployment paths as Hamiltonian circuits on a grid graph,which enables systematic generation and evaluation of candidate topologies.By enforcing a closed-loop(circuit)constraint,the resulting layouts provide continuous load-transfer paths and mitigate local compliance that commonly arises in openchain designs.To validate the proposed concept,high-fidelity multibody dynamics models are implemented in the MuJoCo engine to assess deployment stability,convergence to the fully deployed state,and envelope efficiency.Simulation results demonstrate smooth,repeatable deployment without excessive oscillation,and confirm that the optimized closed-loop configuration maintains compact packaging while achieving markedly higher structural rigidity.In particular,modal analysis shows that the fundamental frequency of the optimized closed-loop topology is substantially higher than that of representative open-loop configurations.,indicating a substantial improvement in global stiffness.Overall,the Hamiltonian-circuit-based design framework provides an effective and scalable route to robust,high-stiffness planar deployable antennas for next-generation large-scale space platforms. 展开更多
关键词 Hamiltonian circuit Thick-panel origami Space solar power Deployable antenna
Highway roadside unit deployment under uneven distribution evolution of intelligent connected vehicles 认领 引用
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作者 Jiyuan Zhou Xiaolin Yu +3 位作者 Jian Geng Ying Zhang Luyu Zhang Zhenhua Mou 《Journal of Highway and Transportation Research and Development(English Edition)》 2026年第1期67-77,共11页
As the penetration rate of connected and autonomous vehicles(CAVs)increases on highways,their role as network nodes for communication tasks raises significant challenges.Spatial heterogeneity in node distribution crea... As the penetration rate of connected and autonomous vehicles(CAVs)increases on highways,their role as network nodes for communication tasks raises significant challenges.Spatial heterogeneity in node distribution creates density discrepancies that substantially impact network lifetime and stability,thereby constraining optimal deployment strategies for road side units(RSUs).This study introduces an enhanced low-energy adaptive clustering hierarchy(LEACH)clustering algorithm tailored for vehicular networks.By identifying dense and sparse regions through dynamic clustering,the algorithm categorizes node functions according to regional characteristics to balance energy consumption and improve network connectivity.MATLAB simulations validate the algorithm’s performance under non-uniform vehicle distributions.The research further analyzes how vehicle node distribution patterns and CAV penetration rates affect optimal RSU deployment intervals.Key findings reveal that with consistent RSU-vehicle communication ranges:At a CAV traffic density of 0.01 and relative spatial density of 0.5(uniform distribution),RSUs should be deployed at 641 m intervals.At a relative density of 0.9(concentrated distribution),deployment intervals can expand to 1,887 m while maintaining high network connectivity.This adaptive strategy reduces communication blind spots by 32%,lowers deployment costs by 18%,and enhances vehicle-road coordination efficiency and traffic safety.The results provide critical technical support for intelligent vehicle-road collaboration systems. 展开更多
关键词 intelligent transport heterogeneous traffic flow vehicle grouping RSU deployment LEACH algorithm uneven distribution
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Challenges in the Large-Scale Deployment of CCUS 认领 引用 被引量：16
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作者 Zhenhua Rui Lianbo Zeng Birol Dindoruk 《Engineering》 SCIE EI CSCD 2025年第1期17-20,共4页
1.Introduction Climate change mitigation pathways aimed at limiting global anthropogenic carbon dioxide(CO2)emissions while striving to constrain the global temperature increase to below 2℃—as outlined by the Int... 1.Introduction Climate change mitigation pathways aimed at limiting global anthropogenic carbon dioxide(CO2)emissions while striving to constrain the global temperature increase to below 2℃—as outlined by the Intergovernmental Panel on Climate Change(IPCC)—consistently predict the widespread implementation of CO2geological storage on a global scale. 展开更多
关键词 Large-Scale Deployment CCUS Challenges Climate Change Mitigation
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Asynchronous deployment scheme and multibody modeling of a ring-truss mesh reflector antenna 认领 引用 被引量：3
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作者 Baiyan He Kangkang Li +3 位作者 Lijun Jia Rui Nie Yesen Fan Guobiao Wang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2025年第5期190-206,共17页
Mesh reflector antennas are the mainstream of large space-borne antennas,and the stretching of the truss achieves their deployment.Currently,the truss is commonly designed to be a single degree of freedom(DOF)deployab... Mesh reflector antennas are the mainstream of large space-borne antennas,and the stretching of the truss achieves their deployment.Currently,the truss is commonly designed to be a single degree of freedom(DOF)deployable mechanism with synchronization constraints.However,each deployable unit’s drive distribution and resistance load are uneven,and the forced synchronization constraints lead to the flexible deformation of rods and difficulties in the deployment scheme design.This paper introduces an asynchronous deployment scheme with a multi-DOF closed-chain deployable truss.The DOF of the truss is calculated,and the kinematic and dynamic models are established,considering the truss’s and cable net’s real-time coupling.An integrated solving algorithm for implicit differential-algebraic equations is proposed to solve the dynamic models.A prototype of a six-unit antenna was fabricated,and the experiment was carried out.The dynamic performances in synchronous and asynchronous deployment schemes are analyzed,and the results show that the cable resistance and truss kinetic energy impact under the asynchronous deployment scheme are minor,and the antenna is more straightforward to deploy.The work provides a new asynchronous deployment scheme and a universal antenna modeling method for dynamic design and performance improvement. 展开更多
关键词 Mesh antenna Deployment dynamic Driving scheme Performance evaluation Numerical analysis
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How are different traditional Chinese medicine modalities deployed by clinical practitioners in China?Findings from a national survey 认领 引用 被引量：3
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作者 Ran Guo Dian Zeng +3 位作者 Qi Zhao Xin-yi Zhang Xiao-ke Zhang Yuan-li Liu 《Journal of Integrative Medicine》 SCIE CAS CSCD 2025年第1期36-45,共10页
Objective Traditional Chinese medicine(TCM)incorporates traditional diagnostic methods and several major treatment modalities including Chinese herbal medicine,Chinese patent medicine,and non-pharmacological methods s... Objective Traditional Chinese medicine(TCM)incorporates traditional diagnostic methods and several major treatment modalities including Chinese herbal medicine,Chinese patent medicine,and non-pharmacological methods such as acupuncture and tuina.Even though TCM is used daily by more than 70,000 healthcare facilities and over 700,000 clinical practitioners in China,there is a poor understanding of the extent to which TCM diagnostic methods are used,how different treatment modalities are deployed in general,and what major factors may affect the integration of TCM and Western medicine.This study aimed to fill this void in the literature.Methods In the 2021 National Healthcare Improvement Evaluation Survey,we included three questions gauging the perception and practices of TCM amongst physicians working in TCM-related facilities,investigating the frequency of their deployment of TCM diagnostic methods,and predominant TCM treatment methods.Our empirical analysis included descriptive statistics,intergroup chi-square analysis,and binary logistic regression to examine the association between different types of facilities and individual characteristics and TCM utilization patterns.Results A total of 7618 clinical physicians comprised our study sample.Among them,84.27%have integrated TCM and Western medicine in their clinical practice,and 80.77%of TCM practitioners used the 4 diagnostic methods as a tool in their clinical practice.Chinese herbal medicine was the most widely utilized modality by Chinese TCM physicians(used by 88.49%of respondents),compared with the Chinese patent medicine and non-pharmacological TCM methods,which were used by 73.14%,and 69.39%,respectively.Herbal tea as an out-of-pocket health-maintenance intervention is also a notable practice,recommended by 29.43%of physicians.Significant variations exist across certain institutions,departments,and individual practitioners.Conclusion Given that most of the surveyed physicians integrated TCM with Western medicine in their clinical practices,the practice of“pure TCM”appears to be obsolete in China’s tertiary healthcare institutions.Notably,remarkable variation exists in the use of different TCM modalities across institutions and among individuals,which might be related to and thus limited by the practitioners’experience.Future research focusing on the efficacy and safety of TCM interventions for specific diseases,the development of standardized clinical guidelines,and the enhancement of TCM education and training are called for to optimize TCM-Western medicine integration. 展开更多
关键词 Traditional Chinese medicine Clinical modalities Deployment
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