The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

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A Generalized Dynamic Potential Energy Model for Multiagent Path Planning by Liu He, Haoning Xi, Tangyi Guo, Kun Tang

“…Path planning for the multiagent, which is generally based on the artificial potential energy field, reflects the decision-making process of pedestrian walking and has great importance on the field multiagent system. …”
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Research on Robot Path Planning Based on Improved RRT-Connect Algorithm by CHEN Zhilan, TANG Haoyang

“…Then, a bidirectional pruning optimization method is applied to the generated initial paths to accelerate pruning efficiency and remove redundant nodes along the paths. …”
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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

“…NetworkX is a free Python library for graphs and networks and is used in many applications and projects to find the shortest path in path planning scenarios. For dense graphs, the library provides the Floyd–Warshall algorithm for shortest paths and the A* (“A-Star”) algorithm for shortest paths and path lengths. …”
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Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm by Danfeng Chen, Junlang Liu, Tengyun Li, Jun He, Yong Chen, Wenbo Zhu

“…Path planning is of great research significance as it is key to affecting the efficiency and safety of mobile robot autonomous navigation task execution. …”
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AUV Path Planning Based on the Flow Field Method and Dynamic Window Approach by Xiang Gao, Duowei Jia, Xinghua Liu, Jiaxuan Du, Haibo Zhang

“…Over the years, a variety of methods have been developed to solve the underwater vehicle path planning problem. A hybrid path planning method for AUVs operating near the water surface is proposed in this paper. …”
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Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning by Yidao Ji, Qiqi Liu, Cheng Zhou, Zhiji Han, Wei Wu

“…Urban drone applications require efficient path planning to ensure safe and optimal navigation through complex environments. …”
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A multiobjective continuation method to compute the regularization path of deep neural networks by Augustina Chidinma Amakor, Konstantin Sonntag, Sebastian Peitz

“…For linear models, it is well known that there exists a regularization path connecting the sparsest solution in terms of the ℓ1 norm, i.e., zero weights and the non-regularized solution. …”
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CASPaR: Congestion avoidance shortest path routing for delay tolerant networks by Michael Stewart, Rajgopal Kannan, Amit Dvir, Bhaskar Krishnamachari

“…Simulation results show that congestion avoidance shortest path routing outperforms well-known protocols in terms of packet delivery probability and latency and is still quite efficient in terms of overhead requirements. …”
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Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum by Yandong Luo, Jianwen Guo, Zhenpeng Lao, Shaohui Zhang, Xiaohui Yan

“…Physarum polycephalum, a unicellular and multiheaded slime mould, can form highly efficient networks connecting separated food sources during the process of foraging. …”
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An End-to-End Solution for Large-Scale Multi-UAV Mission Path Planning by Jiazhan Gao, Liruizhi Jia, Minchi Kuang, Heng Shi, Jihong Zhu

“…With the increasing adoption of cooperative multi-UAV systems in applications such as cargo delivery and ground reconnaissance, the demand for scalable and efficient path planning methods has grown substantially. …”
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Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart by Łukasz Marchel, Rafał Kot, Piotr Szymak, Paweł Piskur

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DCEP: Data Collection Strategy with the Estimated Paths in Ocean Delay Tolerant Network by Chao Liu, Zhongwen Guo, Feng Hong, Kaishun Wu

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Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks by Manuel Ceballos, María Millán

“…Specifically, we focus on vertex coloring, Eulerian paths, and Hamiltonian paths within the Delaunay graph associated with a sensor network. …”
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Optimization of standard arrival procedures at Sheremetyevo airport using rnav path terminators by G. A. Gasparyan, M. V. Kulakov

“…The article considers the current methods and offers new ideas to improve the efficiency of the inbound traffic flow management using Paths and Terminators concept with HA holding patterns for standard arrival routes at Sheremetyevo Airport. …”
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Deep reinforcement learning for integrated vessel path planning with safe anchorage allocation by Gil-Ho Shin, Hyun Yang

“…To improve maritime safety and efficiency, we developed an integrated system that combines Deep Q-Network and Artificial Potential Field concepts for path generation. …”
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Dynamic and adaptive multi-path routing algorithm based on software-defined network by Wu Jiawei, Qiao Xiuquan, Nan Guoshun

“…However, service providers still have difficulties in providing high-quality video streaming due to the problem of scheduling efficiency and the wide fluctuations of end-to-end delays in the existing multi-path algorithms. …”
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Shortest path planning and dynamic rescue forces dispatching for urban flood disasters by Jun Liang, Mingyu Liu, Zongjia Zhang, Lili Yang

“…In the first stage, a path selection model for rescue vehicles is developed, supported by an efficient customized A* algorithm to determine worst-case travel times from fire stations to flood sites. …”
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Deep reinforcement learning for path planning of autonomous mobile robots in complicated environments by Zhijie Zhang, Hao Fu, Juan Yang, Yunhan Lin

“…Abstract In complicated environments, which include dynamic and narrow areas, the path planning of Autonomous Mobile Robots (AMRs) encounters challenges, like slow model convergence and limited representational capabilities, often resulting in the robot taking longer, less efficient paths or even colliding with obstacles. …”
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Identifying influential nodes in weighted complex networks by considering the importance of shortest paths by Xiaohong Wang, Zhenyu Wang

“…By integrating the theory of average shortest paths, SSPW ensures an efficient and precise identification process, even in large-scale networks with significant complexity. …”
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