Fast loop-free path migration strategy in software defined network by Binghao YAN, Qinrang LIU, Jianliang SHEN, Xiantuo TANG, Dong LIANG

“…Aiming at the problems of slow and faulty path migration caused by distributed deployment and asynchronous operation of data plane forwarding devices in software defined network, a fast loop-free path migration strategy was proposed.First, a fast loop detection algorithm based on node ranking was proposed.By comparing the position differences of adjacent nodes on the old and new paths of the flow, whether there was a forwarding loop in the path migration process and the location detection where the loop occurs could be quickly determined.Then, a greedy update mechanism based on node relaxation dependency was proposed.The fast loop detection algorithm was used to uncover the relaxation dependency between the common switches on the old and new paths, and the number of switches updated in each round of the migration process was ensured to be maximized.Simulation results show that the proposed strategy can effectively avoid migration loops and obtain the optimal update time overhead under different network states compared with existing migration schemes.…”
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Path Planning of Multiple Quadrotors with Ultrawideband Localization for Warehouse Inventory Management by Carlos James P. De Guzman, Alvin Y. Chua, Timothy Scott C. Chu

“…Ultrawideband (UWB) can be viable for quadrotor navigation with their effectiveness even in nonideal lighting conditions and its relatively inexpensive infrastructure. A path planning algorithm was designed which optimizes quadrotor energy consumption and yaw movement. …”
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Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

“…Although UAVs working together on complicated jobs can significantly increase productivity and reduce costs, they can cause major issues with path planning. In complex environments, the path planning problem, which is a multiconstraint combinatorial optimization problem and hard to settle, requires considering numerous constraints and limitations and generates the best paths for each UAV to accomplish group tasks. …”
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A Contribution of Shortest Paths Algorithms to the NetworkX Python Library by Miguel Cruz, Rui Carvalho, André Costa, Luis Pinto, Luis Dias, Paulino Cerqueira, Rodrigo Machado, Tiago Batista, Pedro Castro, Jorge Ribeiro

“…To do this, we first review the literature of the usage and general application of NetworkX in different domains of applicability and then explore their usage in a shortest path context. …”
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Seepage Grouting Mechanism for Foundations in Goaf Sites considering Diffusion Paths by Hui Wang, You Li, Zhiyuan Dun, Jianhua Cheng, Zhilin Dun, Chenxi Wu

“…In this paper, considering the time-dependent viscosity and diffusion path of the slurry, the conventional permeation diffusion mechanism of Bingham fluid is derived based on the seepage motion equation in porous media. …”
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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

“…This clearly determines the feasibility of realizing the idea of reoptimizing existing solutions in real time as information is received about disturbances in the structure and parameters of the transport network, various restrictions on the use of existing shortest paths. In contrast to the classical problems of finding shortest paths on static or dynamic graphs, it is proposed to supplement the set of situations controlled by the observer by taking into account the associations of shortest path trees with agents that actually use such paths. …”
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Adaptive path planning for efficient object search by UAVs in agricultural fields by Rick van Essen, Eldert van Henten, Lammert Kooistra, Gert Kootstra

“…We trained a YOLOv8 detection network to detect artificial plants placed in grass fields to showcase the potential of our path planner. We evaluated the effect of different detection certainty measures, optimized the path planning parameters, investigated the effects of localization errors, and different numbers of objects in the field. …”
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Double-path multiscale adaptive compressed sensing network for electronic data by Lubin Yu, Yongsheng Huang, Yiqiang Cheng, Qiliang Du, Zhenwei Zhou, Lianfang Tian, Shilie He, Honghui Liu

“…In this regard, this study proposes a novel double-path multiscale adaptive compressed sensing network (DMA-CS). …”
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Design of path planning robot simulator by applying sampling based method by Heru Suwoyo, Julpri Andika, Andi Adriansyah

“…The simulator uses sampling-based path planning algorithms such as RRT*, Fast RRT*, RRT*-Smart, informed-RRT*, and Honey Bee Mating Optimization-based Fast-RRT*. …”
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The Dynamic Evolution of Industrial Electricity Consumption Linkages and Flow Path in China by Jinshi Wei

“…Furthermore, the transmission path analysis revealed differentiated characteristics of electricity influence transmission, with generally shorter internal paths within sectors, significant cross-sectoral transmission differences, and manufacturing demonstrating good transmission accessibility with moderate path distances to major sectors. …”
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Contrastive learning of similarity meta-path clustering for multi-behavior recommendation by Juan Liao, Aman Jantan, Zhe Liu, Himanshu Dhumras, Omed Hassan Ahmed

“…Finally, CSMC jointly optimizes multi-behavior and meta-path contrastive objectives to extract both local and high-order semantic signals within a heterogeneous information network graph. …”
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Using a deep learning neural network to predict flight path by Oleksandr Bezsonov, Serhii Liashenko, Oleg Rudenko, Sofiia Rutska, Kateryna Vashchenko

“…The subject of this paper is a new approach using a deep learning neural network designed for predicting the flight path of an unmanned aerial vehicle (UAV). The purpose of this study was to improve the accuracy of drone flight path prediction by developing a deep learning-based trajectory forecasting model. …”
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Worlds apart: Plant health and One Health and a path to convergence by Solveig Danielsen, Urs Schaffner, Jakob Zinsstag

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Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles by Elena Politi, Artemis Stefanidou, Christos Chronis, George Dimitrakopoulos, and Iraklis Varlamis

“…We adopt a multi-tier approach in order to validate the performance of the proposed DRL approach in three different neural network architectures leveraging on adaptation and accuracy, with path length, execution time and success of operation being considered as the optimization objectives. …”
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Swarm intelligence driven inverse design of slot patterns for sub-6 GHz 5G MIMO antennas in virtual reality applications by Shadman Fuad Bin Faruquee, Himel Bhuiyan, Md. Shafiul Alam, Sharnali Islam, Khaleda Ali

“…The optimized designs, measuring 24 × 48 (0.4λo ×0.8λo) mm2 in size, yield operating spectra spanning from 4.53 GHz to 7.01 GHz for the orthogonal scenario and 3.95 GHz to 5.15 GHz for the antiparallel orientation in free space. …”
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Time-Dependent Electric Vehicle Routing Problem with Time Windows and Path Flexibility by Li Wang, Shuai Gao, Kai Wang, Tong Li, Lin Li, Zhiyuan Chen

“…That is, the travel speed of an EV on each path may be different during different time periods, and thus, this paper explicitly considers path selection between two locations in the time-dependent electric vehicle routing problem with time windows, denoted as path flexibility. …”
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Data-driven identification and analysis of passenger riding paths in megacity metro system by Lianghui Xie, Zhenji Zhang, Robin Qiu, Daqing Gong

“…The identification and analysis of passenger riding paths between three different types of origin–destination) pairs reveal the complexity of passenger path choice. …”
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Smooth UAV Path Planning Based on Composite-Energy-Minimizing Bézier Curves by Huanxin Cao, Zhanhe Du, Gang Hu, Yi Xu, Lanlan Zheng

“…In existing smooth UAV path planning methods, different characteristics of a path curve are not considered comprehensively, and the optimization functions established based on the arc length or curvature of the path curve are complex, resulting in low efficiency and quality of path smoothing. …”
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Applicability study of the general wireless transmission path loss statistical model in mines by PENG Ming

“…Wireless network planning and optimization for systems such as mine mobile communication, personnel and vehicle positioning, wireless video transmission, and wireless sensing require link budget calculations to determine the maximum allowable wireless transmission path loss. …”
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Expected Length of the Shortest Path of the Traveling Salesman Problem in 3D Space by Hongtai Yang, Xiaoqian Lu, Xinan Zhou, Rong Zheng, Yugang Liu, Siyu Tao

“…Finding the shortest path of the traveling salesman problem (TSP) is a typical NP-hard problem and one of the basic optimization problems. …”
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