Minimizing maximum cost in task coverage problem with multiple mobile sensors: A heuristic approach based on all-pairs shortest path by Hyeun Jeong Min, Hyo-Sang Lim

“…Our work is to find initial tasks to deploy sensors in advance, and find an efficient set of search paths from the initial tasks that completely covers all tasks and minimizes the maximum cost among paths. …”
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A novel node grade factor based multi-path routing (NGFMR) approach for improved qos in cognitive wireless sensor networks by L․V․R․Chaitanya Prasad, Yedukondalu Kamatham, Dhiraj Sunehra

“…This research addresses these shortcomings by proposing a Node Grade Factor (NGF)-centered, node-disjoint multi-path routing protocols, named NGFMR. The protocol focuses on energy-efficient route selection while catering to the demands of recent communication. …”
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UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning by Yanming Chai, Yapeng Wang, Xu Yang, Sio-Kei Im, Qibin He

“…This research contributes to the development of more efficient, reliable, and practical path planning solutions for UAVs, with potential applications in various fields, including autonomous delivery, surveillance, and emergency response operations.…”
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A Novel Algorithm for a Low-Cost, Curvature-Continuous Smooth Path with Multiple Constraints on a Cost-Assigned Flat Map by Xu Du, Lu Yang

“…Path planning is essential for enabling the efficient navigation of robots within complex environments. …”
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A Continuous Space Path Planning Method for Unmanned Aerial Vehicle Based on Particle Swarm Optimization-Enhanced Deep Q-Network by Le Han, Hui Zhang, Nan An

“…Simulation results and experiments using the Flightmare simulator demonstrate that the proposed method generates smoother and more efficient paths for drones, exhibiting strong robustness in complex environments.…”
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3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

“…3D path planning is a critical requirement for the autonomy of unmanned aerial vehicle (UAV) navigation systems. …”
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Enhanced AUV Autonomy Through Fused Energy-Optimized Path Planning and Deep Reinforcement Learning for Integrated Navigation and Dynamic Obstacle Detection by Kaijie Zhang, Yuchen Ye, Kaihao Chen, Zao Li, Kangshun Li

“…The MEO-BIT* component delivers efficient global path planning through (1) a multithreaded batch sampling mechanism for rapid state-space exploration, (2) heuristic-driven search accelerated by KD-tree spatial indexing for optimized path discovery, and (3) an energy-aware cost function balancing path length and steering effort for enhanced endurance. …”
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Unmanned Aerial Vehicle-Enabled Aerial Radio Environment Map Construction: A Multi-Stage Approach to Data Sampling and Path Planning by Junyi Lin, Hongjun Wang, Tao Wu, Zhexian Shen, Ruhao Jiang, Xiaochen Fan

“…Experimental results across three different scenarios indicate that the approach improves the quality of aerial REM construction while efficiently planning the shortest paths for UAVs between sampling positions.…”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

“…This paper presents a path planning model for multiple UAVs, termed the Multi-UAV Path Planning Considering Multiple Energy Consumptions (MUAVPP-MEC). …”
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Examining Social Media Addiction as a Predictor of Academic Achievement and Academic Procrastination: A Cohort of Undergraduate Students by Suleyman Avci, Mustafa Cakir, Tuncay Akinci

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A Hierarchical Path Planning Framework of Plant Protection UAV Based on the Improved D3QN Algorithm and Remote Sensing Image by Haitao Fu, Zheng Li, Jian Lu, Weijian Zhang, Yuxuan Feng, Li Zhu, He Liu, Jian Li

“…This design enhances the efficiency and robustness of UAV path planning in agricultural environments. …”
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A Prototype Downdraft Gasifier Design with Mechanical Stirrer for Rice Straw Gasification and Comparative Performance Evaluation for Two Different Airflow Paths by Birol Kayişoğlu, Serkan Tuğ, Mehmet Recai Durgut, İbrahim Savaş Dalmış, Türkan Aktaş, Figen Daşçı Durgut

“…The effects of airflow path and stirring process on the gasification efficiency during the gasification process were investigated. …”
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Path Planning for Lunar Rovers in Dynamic Environments: An Autonomous Navigation Framework Enhanced by Digital Twin-Based A*-D3QN by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…A multi-dimensional reward function balances path efficiency, safety, energy, and time, while priority experience replay accelerates training convergence. …”
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Correlation and Path Coefficient Analysis of Yield and Yield Components of Quality Protein Maize (Zea mays L.) Hybrids at Jimma, Western Ethiopia by Jemal Aman, Kassahun Bantte, Sentayehu Alamerew, Desta Berhe Sbhatu

“…Knowledge of the interrelationships of grain yield and its various causal (contributory) components is very helpful to improve the efficiency of breeding programs using appropriate selection indices. …”
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Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles by Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI

“…ObjectiveTo address the challenges of path planning for unmanned surface vehicles in complex waters, this paper proposes an improved ant colony optimization（ACO）algorithm based on uneven distributed pheromone and multi-objective optimization.MethodsFirst, a probabilistic roadmap method (PRM) is used to generate an initial path. …”
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Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning by Mattia Piccinini, Simon Gottschalk, Matthias Gerdts, Francesco Biral

“…This paper introduces new motion primitives for autonomous racing, aiming to accurately approximate the minimum-time vehicle trajectories while ensuring computational efficiency. We present a novel neural network, named PathPoly-NN, whose internal architecture is designed to learn the minimum-time vehicle path. …”
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Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems by Ruoxi Tan, Shangbin Ye, Qianlei Peng, Changhong Du, Zeyan Zhou

“…Accurate prediction and efficient suppression of conducted electromagnetic interference(EMI) in electric drive systems(EDS) are achieved through an innovative technique proposed in this paper, leveraging a key path impedance characteristic model. …”
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An Energy-Efficient Data Collection Method for Wireless Multimedia Sensor Networks by Ilkyu Ha, Mamurjon Djuraev, Byoungchul Ahn

“…And data collection time is decreased owing to the predefined path for the mobile sink.…”
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Arc-length Algorithm Efficiency in the Analysis of Thermally Loaded Multilayered Shells by Agnieszka SABIK, Ireneusz KREJA

“…This paper concerns the efficiency study of the arc-length algorithm in the geometrically non-linear analysis of thermally loaded multilayered shells. …”
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A load balanced and energy efficient underwater clustering protocol for UWSN by Xinbin LI, Mengling GAO, Lei YAN

“…Focused on the low energy efficiency and short lifetime of underwater wireless sensor network（UWSN）,a load balanced and energy efficient underwater clustering（LBEEUC）protocol for UWSN was proposed.For cluster head settings,due to the consideration of load balanced,the proportion of cluster heads based on experience-load was set.The area with high experience-load could obtain more cluster heads than other areas to process data forwarding.And then,for intra-cluster communication,some relay nodes were set to save energy of long range data transmission between cluster head and nodes.Relay nodes also could be used to eliminate redundant information by advance data fusion.Finally,for inter-cluster routing,Q-learning algorithm was used to implement optimal path planning based on the criterion of least energy consuming.The simulation results demonstrate that the LBEEUC protocol can efficiently improve the energy utilization,prolong the network lifetime and balance the energy consumption of the network.…”
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