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Physical-informed machine learning of phase transformation and application to cooling path optimization 认领 引用
1
作者 Zhi-Wei Gao Si-Wei Wu +4 位作者 Xiao-Guang Zhou Guang-Ming Cao Ning Liu Hong-Bing Wang Zhen-Yu Liu 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第7期49-62,共14页
The flexible optimization control of the cooling path after hot rolling of strip steel has a significant influence on the phase transformation microstructure,which in turn determines the stability of mechanical proper... The flexible optimization control of the cooling path after hot rolling of strip steel has a significant influence on the phase transformation microstructure,which in turn determines the stability of mechanical properties and final product quality.To further analyze the complex coupling relationship between cooling path parameters and mechanical properties,a physically guided multi-objective optimization strategy is proposed for post-rolling cooling path control,combining continuous cooling transformation(CCT)diagram to achieve precise regulation of phase transformation microstructure and volume fraction.First,based on experimental data and machine learning algorithms,predictive models for the relationships among chemical composition,physical metallurgical parameters,and phase transformation temperatures are established,enabling accurate prediction of the CCT diagram.Subsequently,multi-objective optimization is applied to determine optimal cooling paths,with results compared against actual industrial production data.Finally,the optimization outcomes are validated through metallographic analysis and mechanical property testing,while the grain refinement strengthening theory is employed to analyze how CCT diagram-based cooling path optimization affects material properties.This approach achieves the goal of enhancing mechanical properties in hot rolled structural steels through controlled cooling path processes. 展开更多
关键词 Hot rolled structural steel Cooling path optimization Machine learning Mechanical property CCT diagram prediction
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IPN-RRT*:Neural-Guided RRT*for Optimal Path Planning Using an Improved Point-Cloud Network 认领 引用
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作者 Zhengshun Fei Qiao Sun +3 位作者 Chuang Yang Siranee Nuchitprasitchai Yongping Zheng Xinjian Xiang 《Computers, Materials & Continua》 SCIE EI 2026年第9期2126-2145,共20页
Path planning is a critical component for enabling autonomous navigation in mobile robots.Sampling-based planners are widely adopted due to their strong generality,yet they rely heavily on uniform sampling,which often... Path planning is a critical component for enabling autonomous navigation in mobile robots.Sampling-based planners are widely adopted due to their strong generality,yet they rely heavily on uniform sampling,which often leads to unstable performance and high computational cost in complex environments.To address this issue,recent studies feed free-space point clouds into neural networks to infer a set of guidance states near the optimal path,thereby enabling non-uniform sampling;however,the accuracy of the guidance set becomes a key bottleneck for further improvement.In this paper,we propose an improved point-cloud neural RRT*framework,termed IPN-RRT*,which achieves fast near-optimal planning via a high-precision guidance state set.Specifically,we develop an Improved PointNeXt-based neural sampling network(IPN)that enhances the geometric representation of free-space point clouds using high-dimensional sinusoidal positional encoding(HPESIN),and further improves cross-scene feature discriminability and robustness through a gated covariance-enhanced channel attention module(GCECA).These designs substantially improve the quality of the guidance state set and accelerate convergence toward better solutions during planning.Extensive experiments on large-scale datasets built from complex random maps demonstrate that IPN significantly outperforms existing point-cloud prediction models in region prediction accuracy.Moreover,across diverse challenging environments,IPN-RRT*finds near-optimal paths with fewer nodes and shorter runtime,while preserving probabilistic completeness and asymptotic optimality. 展开更多
关键词 Optimal path planning sampling-based algorithm point-cloud neural networks guidance state set
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Exploration of Optimizing Hospital Nursing Work in the New Era 认领 引用
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作者 Jing Zhou 《Journal of Clinical and Nursing Research》 2026年第3期424-430,共7页
Under the background of the new era,with the continuous advancement of the Healthy China strategy,the general public has put forward higher requirements for hospital nursing work.As a bridge between medical services a... Under the background of the new era,with the continuous advancement of the Healthy China strategy,the general public has put forward higher requirements for hospital nursing work.As a bridge between medical services and patient needs,nursing work directly affects medical quality and safety,patients’medical experience,and the sustainable development of the medical and health cause.Based on this,this paper briefly analyzes the connotation and development requirements of hospital nursing work in the new era,as well as the current situation of hospital nursing work,and discusses the optimization paths of hospital nursing work in the new era,aiming to provide certain theoretical support and practical guidance for the improvement of hospital nursing work. 展开更多
关键词 New era Hospital nursing Optimization paths
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Trajectory tracking on the optimal path of two-dimensional quadratic barrier escaping 认领 引用
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作者 Zengxuan Zhao Xiuying Zhang +4 位作者 Pengchen Zhao Chunyang Wang Chunlei Xia Mushtaq Rana Imran Joelous Malamula Nyasulu 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第5期92-95,共4页
The diffusion trajectory of a Brownian particle passing over the saddle point of a two-dimensional quadratic potential energy surface is tracked in detail according to the deep learning strategies.Generative adversari... The diffusion trajectory of a Brownian particle passing over the saddle point of a two-dimensional quadratic potential energy surface is tracked in detail according to the deep learning strategies.Generative adversarial networks(GANs)emanating in the category of machine learning(ML)frameworks are used to generate and assess the rationality of the data.While their optimization is based on the long short-term memory(LSTM)strategies.In addition to drawing a heat map,the optimal path of two-dimensional(2D)diffusion is simultaneously demonstrated in a stereoscopic space.The results of our simulation are completely consistent with the previous theoretical predictions. 展开更多
关键词 trajectory tracking optimal path two-dimensional barrier escaping deep learning
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Research on the Optimization Path of Network Ideological and Political Education in Colleges and Universities in Xinjiang 认领 引用 被引量：1
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作者 Xuemei Tan 《Journal of Contemporary Educational Research》 2025年第10期398-407,共10页
The Report of the 20th National Congress of the Communist Party of China explicitly emphasized the promotion of educational digitalization.The rapid development of new media in the era of network information has not o... The Report of the 20th National Congress of the Communist Party of China explicitly emphasized the promotion of educational digitalization.The rapid development of new media in the era of network information has not only broadened the horizons of college students but also profoundly transformed the content and methods of ideological and political education.As the frontline of ideological work,colleges and universities in Xinjiang are guided by the Party’s strategy for governing Xinjiang in the new era to advance network ideological and political education.This is of great significance in guiding students to develop correct network literacy and promoting ideological and political education to keep pace with the times.Through methods such as text analysis,questionnaire surveys,and interviews,this paper outlines the concept,characteristics,and value of network ideological and political education in colleges and universities in Xinjiang,analyzes its current development status and existing issues,and proposes optimization paths such as adhering to correct political guidance,highlighting regional characteristics,innovating educational methods,and strengthening subject construction.These efforts aim to fulfill the fundamental task of“cultivating talents with moral integrity”and serve the overall goal of social stability and long-term peace in Xinjiang. 展开更多
关键词 Colleges and universities in Xinjiang Network ideological and political education Optimization path Digital education Ideological security
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Dynamic Robust Pursuit of Multiple Evaders Under State Measurement Uncertainty in Obstacle Environments 认领 引用
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作者 Kai Rao Huaicheng Yan +3 位作者 Zhihao Huang Tiantian Xu Penghui Yang Yunkai Lv 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期989-991,共3页
Dear Editor,This letter proposes a distributed pursuit framework for multiple evaders with identical motion capabilities in obstacle environments under state measurement noise.The framework integrates dynamic pursuers... Dear Editor,This letter proposes a distributed pursuit framework for multiple evaders with identical motion capabilities in obstacle environments under state measurement noise.The framework integrates dynamic pursuers allocation,chance-constrained collision avoidance Voronoi cell(C3AVC)construction,and path controller optimization to ensure reasonable allocation of multiple pursuers and probabilistic collision avoidance during the pursuit process,thereby addressing the challenges of multi-evader pursuit under imperfect perception conditions.Comparative simulations and experimental results validate the effectiveness of the proposed framework. 展开更多
关键词 path controller optimization obstacle environments reasonable allocation multiple pursuers distributed pursuit framework probabilistic collision avoidance dynamic pursuers allocationchance constrained motion capabilities multi evader pursuit
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Critical Patient Image Data Acquisition Strategy by Exploiting Edge Intelligence and Dynamic-Static Synergy in Smart Healthcare 认领 引用
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作者 Kiran Deep Singh Prabh Deep Singh +3 位作者 Narinder Kaur Jawad Khan Dildar Hussain Yeong Hyeon Gu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期1276-1304,共29页
In smart healthcare systems,Image data of critical patients is essential in controlling and diagnosing the disease development.To acquire the medical images,traditional methods encountered the difficulty of generating... In smart healthcare systems,Image data of critical patients is essential in controlling and diagnosing the disease development.To acquire the medical images,traditional methods encountered the difficulty of generating costeffective data.This research work introduces a novel and innovative approach to collect high-quality image data from individuals with atypical clinical presentations.Initially,a new Internet of Medical Things(IoMT)image collection architecture is introduced.This design uses edge intelligence and motion-static synergy to make it easier to record both coarse-grained and fine-grained patient images.This study introduces an image acquisition technique that leverages edge intelligence and collaborative static-dynamic monitoring,exemplified in intensive care units,to improve the efficiency and data value of image acquisition in healthcare IoMT settings.This approach revolves around the three distinct steps.To begin with,an advanced YOLO-based clinical abnormality detection is implemented by the edge server to identify patients affected by abnormal physiological conditions.The images from affected patients are captured by static monitoring nodes.In the next phase,coordinate calculation methods for the localization of abnormal patients and quantification techniques for severity assessment are introduced.The final step involves the intervention of a path optimization algorithm for mobile medical assistive robots using severity metrics and principles of ant colony optimization.Ultimately,algorithmic performance evaluations at every phase indicate that acquisition efficiency and image data value surpass traditional methodologies. 展开更多
关键词 Edge intelligence image acquisition motion collaboration path optimization medical IoT patient monitoring
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Improved Ant Colony-Genetic Algorithm for Information Transmission Path Optimization in Remanufacturing Service System 认领 引用 被引量：12
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作者 Lei Wang Xu-Hui Xia +2 位作者 Jian-Hua Cao Xiang Liu Jun-Wei Liu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2018年第6期106-117,共12页
The information transmission path optimization(ITPO) can often a ect the e ciency and accuracy of remanufactur?ing service. However, there is a greater degree of uncertainty and complexity in information transmission ... The information transmission path optimization(ITPO) can often a ect the e ciency and accuracy of remanufactur?ing service. However, there is a greater degree of uncertainty and complexity in information transmission of remanu?facturing service system, which leads to a critical need for designing planning models to deal with this added uncer?tainty and complexity. In this paper, a three?dimensional(3D) model of remanufacturing service information network for information transmission is developed, which combines the physic coordinate and the transmitted properties of all the devices in the remanufacturing service system. In order to solve the basic ITPO in the 3D model, an improved 3D ant colony algorithm(Improved AC) was put forward. Moreover, to further improve the operation e ciency of the algorithm, an improved ant colony?genetic algorithm(AC?GA) that combines the improved AC and genetic algorithm was developed. In addition, by taking the transmission of remanufacturing service demand information of certain roller as example, the e ectiveness of AC?GA algorithm was analyzed and compared with that of improved AC, and the results demonstrated that AC?GA algorithm was superior to AC algorithm in aspects of information transmission delay, information transmission cost, and rate of information loss. 展开更多
关键词 Remanufacturing service Information transmission Path optimization Ant colony algorithm Genetic algorithm
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Research on AGV task path planning based on improved A*algorithm 认领 引用 被引量：18
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作者 Xianwei WANG Jiajia LU +2 位作者 Fuyang KE Xun WANG Wei WANG 《虚拟现实与智能硬件（中英文）》 EI 2023年第3期249-265,共17页
Background Automatic guided vehicles(AGVs)have developed rapidly in recent years and have been used in several fields,including intelligent transportation,cargo assembly,military testing,and others.A key issue in thes... Background Automatic guided vehicles(AGVs)have developed rapidly in recent years and have been used in several fields,including intelligent transportation,cargo assembly,military testing,and others.A key issue in these applications is path planning.Global path planning results based on known environmental information are used as the ideal path for AGVs combined with local path planning to achieve safe and rapid arrival at the destination.Using the global planning method,the ideal path should meet the requirements of as few turns as possible,a short planning time,and continuous path curvature.Methods We propose a global path-planning method based on an improved A*algorithm.The robustness of the algorithm was verified by simulation experiments in typical multiobstacle and indoor scenarios.To improve the efficiency of the path-finding time,we increase the heuristic information weight of the target location and avoid invalid cost calculations of the obstacle areas in the dynamic programming process.Subsequently,the optimality of the number of turns in the path is ensured based on the turning node backtracking optimization method.Because the final global path needs to satisfy the AGV kinematic constraints and curvature continuity condition,we adopt a curve smoothing scheme and select the optimal result that meets the constraints.Conclusions Simulation results show that the improved algorithm proposed in this study outperforms the traditional method and can help AGVs improve the efficiency of task execution by planning a path with low complexity and smoothness.Additionally,this scheme provides a new solution for global path planning of unmanned vehicles. 展开更多
关键词 Autonomous guided vehicle(AGV) Map modeling Global path planning Improved A*algorithm Path optimization Bezier curves
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Multi-Objective Redundancy Optimization of Continuous-Point Robot Milling Path in Shipbuilding 认领 引用 被引量：4
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作者 Jianjun Yao Chen Qian +1 位作者 Yikun Zhang Geyang Yu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第2期1283-1303,共21页
The 6-DOF manipulator provides a new option for traditional shipbuilding for its advantages of vast working space,low power consumption,and excellent flexibility.However,the rotation of the end effector along the tool... The 6-DOF manipulator provides a new option for traditional shipbuilding for its advantages of vast working space,low power consumption,and excellent flexibility.However,the rotation of the end effector along the tool axis is functionally redundant when using a robotic arm for five-axis machining.In the process of ship construction,the performance of the parts’protective coating needs to bemachined tomeet the Performance Standard of Protective Coatings(PSPC).The arbitrary redundancy configuration in path planning will result in drastic fluctuations in the robot joint angle,greatly reducing machining quality and efficiency.There have been some studies on singleobjective optimization of redundant variables,However,the quality and efficiency of milling are not affected by a single factor,it is usually influenced by several factors,such as the manipulator stiffness,the joint motion smoothness,and the energy consumption.To solve this problem,this paper proposed a new path optimization method for the industrial robot when it is used for five-axis machining.The path smoothness performance index and the energy consumption index are established based on the joint acceleration and the joint velocity,respectively.The path planning issue is formulated as a constrained multi-objective optimization problem by taking into account the constraints of joint limits and singularity avoidance.Then,the path is split into multiple segments for optimization to avoid the slow convergence rate caused by the high dimension.An algorithm combining the non-dominated sorting genetic algorithm(NSGA-II)and the differential evolution(DE)algorithm is employed to solve the above optimization problem.The simulations validate the effectiveness of the algorithm,showing the improvement of smoothness and the reduction of energy consumption. 展开更多
关键词 Shipbuilding robot milling functional redundancy path optimization multi-objective
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Generative Adversarial Network Based Heuristics for Sampling-Based Path Planning 认领 引用 被引量：13
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作者 Tianyi Zhang Jiankun Wang Max Q.-H.Meng 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第1期64-74,共11页
Sampling-based path planning is a popular methodology for robot path planning.With a uniform sampling strategy to explore the state space,a feasible path can be found without the complex geometric modeling of the conf... Sampling-based path planning is a popular methodology for robot path planning.With a uniform sampling strategy to explore the state space,a feasible path can be found without the complex geometric modeling of the configuration space.However,the quality of the initial solution is not guaranteed,and the convergence speed to the optimal solution is slow.In this paper,we present a novel image-based path planning algorithm to overcome these limitations.Specifically,a generative adversarial network(GAN)is designed to take the environment map(denoted as RGB image)as the input without other preprocessing works.The output is also an RGB image where the promising region(where a feasible path probably exists)is segmented.This promising region is utilized as a heuristic to achieve non-uniform sampling for the path planner.We conduct a number of simulation experiments to validate the effectiveness of the proposed method,and the results demonstrate that our method performs much better in terms of the quality of the initial solution and the convergence speed to the optimal solution.Furthermore,apart from the environments similar to the training set,our method also works well on the environments which are very different from the training set. 展开更多
关键词 Generative adversarial network(GAN) optimal path planning robot path planning sampling-based path planning
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Transfer Path Contribution to Floor Vibration of Metro Vehicles Based on Operational Transfer Path Analysis Method 认领 引用 被引量：2
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作者 Laixian Peng Jian Han +2 位作者 Jiaxing Nie Xinbiao Xiao Caiying Mi 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2022年第2期228-238,共11页
Operational transfer path analysis(OTPA)is an advanced vibration and noise transfer path identification and contribution evaluation method.However,the application of OTPA to rail transit vehicles considers only the ex... Operational transfer path analysis(OTPA)is an advanced vibration and noise transfer path identification and contribution evaluation method.However,the application of OTPA to rail transit vehicles considers only the excitation amplitude and ignores the influence of the excitation phase.This study considers the influence of the excitation amplitude and phase,and analyzes the contribution of the secondary suspension path to the floor vibration when the metro vehicle runs at 60 km/h,using an analysis based on the OTPA method.The results show that the vertical direction of the anti-rolling torsion bar area provides the maximum contribution to the floor vibration,with a contribution of 22.1%,followed by the longitudinal vibration of the air spring area,with a contribution of 17.1%.Based on the contribution analysis,a transfer path optimization scheme is proposed,which may provide a reference for the optimization of the transfer path of metro vehicles in the future. 展开更多
关键词 OTPA Secondary suspension Contribution analysis Transfer path optimization scheme Metro vehicles
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Types and Optimization Paths Between Poverty Alleviation Effectiveness and Rural Revitalization:A Case Study of Hunan Province,China 认领 引用 被引量：4
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作者 TAN Xuelan WANG Zhenkai +1 位作者 AN Yue WANG Weilin 《Chinese Geographical Science》 SCIE CSCD 2023年第5期966-982,共17页
Exploring the synergy types and optimization paths between Poverty Alleviation Effectiveness and Rural Revitalization is necessary for achieving the two centenary goals.Taking poverty alleviation counties in Hunan Pro... Exploring the synergy types and optimization paths between Poverty Alleviation Effectiveness and Rural Revitalization is necessary for achieving the two centenary goals.Taking poverty alleviation counties in Hunan Province,China as an example,our study proposed an indicator to measure the synergistic development between Poverty Alleviation Effectiveness and Rural Revitalization using the multi-index integrated evaluation method.Then,the coupling types were classified based on both the proposed indicator and regional characteristics.Besides,the corresponding optimization path for each coupling type was proposed to promote the synergistic development of Poverty Alleviation and Rural Revitalization.Results are as follows:1)Lower synergy focused on the southwestern Hunan,while low synergy is widely distributed(such as the west,southwest,northwest,and midland).Moderate synergy is in the midland,such as Huaihua and Chenzhou cities.High synergy is distributed in Yongzhou,Huaihua,Xiangxi cities,etc.Besides,only Hecheng City belongs to the higher synergy.2)This paper proposes corresponding development paths for different development characteristics and main problems from multiple perspectives of the protection system,industrial planning,and rural market.Continuously consolidate and enhance the effectiveness of Poverty Alleviation and Rural Revitalization to achieve coupled and synergistic development of the two systems.Our research results can provide theoretical support for implementing Poverty Alleviation and Rural Revitalization in Hunan Province,China. 展开更多
关键词 Poverty Alleviation Effectiveness Rural Revitalization coupling synergy type classification optimization path
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Global optimal path planning for mobile robot based onimproved Dijkstra algorithm and ant system algorithm 认领 引用 被引量：23
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作者 谭冠政 贺欢 Aaron Sloman 《Journal of Central South University of Technology》 2006年第1期80-86,共7页
A novel method of global optimal path planning for mobile robot was proposed based on the improved Dijkstra algorithm and ant system algorithm. This method includes three steps: the first step is adopting the MAKLINK ... A novel method of global optimal path planning for mobile robot was proposed based on the improved Dijkstra algorithm and ant system algorithm. This method includes three steps: the first step is adopting the MAKLINK graph theory to establish the free space model of the mobile robot, the second step is adopting the improved Dijkstra algorithm to find out a sub-optimal collision-free path, and the third step is using the ant system algorithm to adjust and optimize the location of the sub-optimal path so as to generate the global optimal path for the mobile robot. The computer simulation experiment was carried out and the results show that this method is correct and effective. The comparison of the results confirms that the proposed method is better than the hybrid genetic algorithm in the global optimal path planning. 展开更多
关键词 mobile robot global optimal path planning improved Dijkstra algorithm ant system algorithm MAKLINK graph free MAKLINK line
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Rescue vehicle allocation problem based on optimal reliable path under uncertainty 认领 引用 被引量：3
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作者 SHEN Liang WANG Fei-ran +2 位作者 HU Lei LYU Xin-yi SHAO Hu 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第11期3779-3792,共14页
Consideration of the travel time variation for rescue vehicles is significant in the field of emergency management research.Because of uncertain factors,such as the weather or OD(origin-destination)variations caused b... Consideration of the travel time variation for rescue vehicles is significant in the field of emergency management research.Because of uncertain factors,such as the weather or OD(origin-destination)variations caused by traffic accidents,travel time is a random variable.In emergency situations,it is particularly necessary to determine the optimal reliable route of rescue vehicles from the perspective of uncertainty.This paper first proposes an optimal reliable path finding(ORPF)model for rescue vehicles,which considers the uncertainties of travel time,and link correlations.On this basis,it investigates how to optimize rescue vehicle allocation to minimize rescue time,taking into account travel time reliability under uncertain conditions.Because of the non-additive property of the objective function,this paper adopts a heuristic algorithm based on the K-shortest path algorithm,and inequality techniques to tackle the proposed modified integer programming model.Finally,the numerical experiments are presented to verify the accuracy and effectiveness of the proposed model and algorithm.The results show that ignoring travel time reliability may lead to an over-or under-estimation of the effective travel time of rescue vehicles on a particular path,and thereby an incorrect allocation scheme. 展开更多
关键词 heuristic algorithm travel time correlation optimal reliable path rescue vehicle allocation traffic network
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TOOL PATH OPTIMIZATION OF POCKET CORNER 认领 引用 被引量：2
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作者 赵振宇 王成勇 +1 位作者 吴世雄 周后明 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2007年第2期164-169,共6页
In milling around sharp corners, residual materials are left at sharp corners when the stepover is extremely long in the contour-parallel tool path. Milling force at the sharp corner rises momentarily due to the incre... In milling around sharp corners, residual materials are left at sharp corners when the stepover is extremely long in the contour-parallel tool path. Milling force at the sharp corner rises momentarily due to the increase of the cutter contact length, thus shortening the tool life and leading to machine chatter, even cutter breakage. Then a tool path improvement method by inserting biarc transition segments in the contour-parallel tool path is proposed for milling the pocket. Using the method, the cutter moves along the biarc transition tool path. And the corner material is removed. The improved tool path is continuous for clearing residual materials at the sharp corner. Finally, the machining experiment validates the proposed method. 展开更多
关键词 high speed milling corner tool path optimization
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Pattern recognition of optimal traffic path based on HMM 认领 引用 被引量：6
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作者 ZHAO Shu-xu WU Hong-wei LIU Chang-rong 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2020年第4期351-357,共7页
In order to alleviate urban traffic congestion and provide fast vehicle paths,a hidden Markov model(HMM)based on multi-feature data of urban regional roads is constructed to solve the problems of low recognition rate ... In order to alleviate urban traffic congestion and provide fast vehicle paths,a hidden Markov model(HMM)based on multi-feature data of urban regional roads is constructed to solve the problems of low recognition rate and poor instability of traditional model algorithms.At first,the HHM is obtained by training.Then according to dynamic planning principle,the traffic states of intersections are obtained by the Viterbi algorithm.Finally,the optimal path is selected based on the obtained traffic states of intersections.The experiment results show that the proposed method is superior to other algorithms in road unobstruction rate and recognition rate under complex road conditions. 展开更多
关键词 hidden Markov model(HMM) Viterbi algorithm traffic congestion optimal path
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Optimal path finding algorithms based on SLSD road network model 认领 引用 被引量：3
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作者 张小国 王庆 龚福祥 《Journal of Southeast University(English Edition)》 EI CAS 2010年第4期558-562,共5页
A solution to compute the optimal path based on a single-line-single-directional（SLSD）road network model is proposed.Unlike the traditional road network model,in the SLSD conceptual model,being single-directional an... A solution to compute the optimal path based on a single-line-single-directional（SLSD）road network model is proposed.Unlike the traditional road network model,in the SLSD conceptual model,being single-directional and single-line style,a road is no longer a linkage of road nodes but abstracted as a network node.Similarly,a road node is abstracted as the linkage of two ordered single-directional roads.This model can describe turn restrictions,circular roads,and other real scenarios usually described using a super-graph.Then a computing framework for optimal path finding（OPF）is presented.It is proved that classical Dijkstra and A algorithms can be directly used for OPF computing of any real-world road networks by transferring a super-graph to an SLSD network.Finally,using Singapore road network data,the proposed conceptual model and its corresponding optimal path finding algorithms are validated using a two-step optimal path finding algorithm with a pre-computing strategy based on the SLSD road network. 展开更多
关键词 optimal path finding road network model conceptual model digital map vehicle navigation system A algorithm Dijkstra algorithm
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Energy saving analysis of segment positioning in shield tunneling machine considering assembling path optimization 认领 引用 被引量：4
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作者 施虎 龚国芳 +1 位作者 杨华勇 梅雪松 《Journal of Central South University》 SCIE EI CAS 2014年第12期4526-4536,共11页
A motion parameter optimization method based on the objective of minimizing the total energy consumption in segment positioning was proposed for segment erector of shield tunneling machine. The segment positioning pro... A motion parameter optimization method based on the objective of minimizing the total energy consumption in segment positioning was proposed for segment erector of shield tunneling machine. The segment positioning process was decomposed into rotation, lifting and sliding actions in deriving the energy calculation model of segment erection. The work of gravity was taken into account in the mathematical modeling of energy consumed by each actuator. In order to investigate the relationship between the work done by the actuator and the path moved along by the segment, the upward and downward directions as well as the operating quadrant of the segment erector were defined. Piecewise nonlinear function of energy was presented, of which the result is determined by closely coupled components as working parameters and some intermediate variables. Finally, the effectiveness of the optimization method was proved by conducting a case study with a segment erector for the tunnel with a diameter of 3 m and drawing comparisons between different assembling paths. The results show that the energy required by assembling a ring of segments along the optimized moving path can be reduced up to 5%. The method proposed in this work definitely provides an effective energy saving solution for shield tunneling machine. 展开更多
关键词 energy saving segment erector work of gravity path optimization shield tunneling machine
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Bi-objective path optimization of flapping airfoils based on a surrogate model 认领 引用 被引量：1
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作者 赵良玉 徐勇 +1 位作者 徐来斌 杨树兴 《Journal of Beijing Institute of Technology》 EI CAS 2011年第2期143-151,共9页
A bi-objective optimization problem for flapping airfoils is solved to maximize the time-averaged thrust coefficient and the propulsive efficiency. Design variables include the plunging amplitude, the pitching amplitu... A bi-objective optimization problem for flapping airfoils is solved to maximize the time-averaged thrust coefficient and the propulsive efficiency. Design variables include the plunging amplitude, the pitching amplitude and the phase shift angle. A well defined Kriging model is used to substitute the time-consuming high fidelity model, and a multi-objective genetic algorithm is employed as the search algorithm. The optimization results show that the propulsive efficiency can be improved by reducing the plunging amplitude and the phase shift angle in a proper way. The results of global sensitivity analysis using the Sobol’s method show that both of the time-averaged thrust coefficient and the propulsive efficiency are most sensitive to the plunging amplitude, and second most sensitive to the pitching amplitude. It is also observed that the phase shift angle has an un-negligible influence on the propulsive efficiency, and has little effect on the time-averaged thrust coefficient. 展开更多
关键词 path optimization flapping airfoils Kriging model global sensitivity analysis genetic algorithm
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