Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning by Mingen Wang, Panliang Yuan, Pengfei Hu, Zhengrong Yang, Shuai Ke, Longliang Huang, Pai Zhang

“…However, planning reliable, safe, and economical paths for UAVs in real-world environments remains a significant challenge. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…Traditional methods also lack the ability to capture complete vehicle path information essential for signal optimization. …”
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Pedestrian Path Choice in Crowded Indoor Environments by L. Liu, S. Zlatanova, R. Xie

“…By iterating the optimal path to the next door/the target in the current room, the user location of the next moment can be inferred. …”
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Design of a High-Efficiency External Rotor Interior Permanent Magnet Synchronous Motor Without Magnetic Leakage Flux Path by Kyoung-Soo Cha, Jae-Hyun Kim, Soo-Gyung Lee, Min-Ro Park

“…Design optimization is conducted using Gaussian process models (GPMs) constructed with a Latin hypercube design (LHD), and the optimal design is determined using a gradient descent algorithm. …”
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A Computational Framework for Automated Puncture Trajectory Planning in Hemorrhagic Stroke Surgery by Ziyue Ma, Feng Yan, Yongzhi Shan, Yaming Wang, Hong Wang

“…The average angle difference between automatically generated and manually designed paths was 16.36°. …”
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Development of Semiparametric Truncated Spline Logistic Path Analysis by Sasi Wilujeng Sri Rejeki, Solimun Solimun, Nurjannah Nurjannah, Shalsa Amalia Yulianto, Muhammad Ohid Ullah

“…This development was applied to secondary data collected through questionnaires from farmer group members in Bali Province, which were analyzed using a semiparametric truncated spline logistic path model. Optimal knots were determined using the lowest GCV value. …”
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Paths in Folded Hypercubes With Any Pair of Faulty Vertices by Che-Nan Kuo, Yu-Huei Cheng

“…The variety of path lengths embedded in this paper represents the optimal scenario under the fault-tolerant condition.…”
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Energy efficiency investigation of sun-path tracker systems by Abdellatif Hraich, Ali Haddi, Abdellah El Fadar, Oussama Achkari

“…The primary objective of this study is to conduct a comparative energy analysis of different Sun Path Trackers. Its offers solutions to optimize photovoltaic energy production through experimentation that incorporates different degrees of freedom photovoltaic panels mounted in mobile bracket and artificial intelligence optimization using stochastic algorithms. …”
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A Bat Algorithm with Mutation for UCAV Path Planning by Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang

“…Path planning for uninhabited combat air vehicle (UCAV) is a complicated high dimension optimization problem, which mainly centralizes on optimizing the flight route considering the different kinds of constrains under complicated battle field environments. …”
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Research on path planning of mobile robot in complex environment by Haibin Liu, Jingjing Cao, Zhiyuan Wang

“…Additionally, a random escape strategy prevents the algorithm from getting trapped in local minima. Various optimization methods refine the final path for practical applications. …”
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Configuration Path Analysis of the Virtual Influencer’s Marketing Effectiveness by Min Tian, Haiqiang Hu, Meimei Chen

“…Grounded in the 5W communication model and utilizing a fuzzy-set qualitative comparative analysis (fsQCA), this study systematically explores how different configurational paths influence consumer engagement, drawing on empirical data from 205 participants. …”
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A modeling of budget optimization for the strategic plan of universities by different faculties: a case study in Allameh Tabataba'i University by Hassan Rashidi, Morteza Khorsandi, Fatemeh Shams

“…The activities of the university helped to clear the path of collective goals. For this reason, most universities have prepared a strategic plan to recognize and solve problems, identify strengths and weaknesses, make optimal use of opportunities and situations, and master the threats that endanger the university's existence. …”
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Modeling and Optimization of Energy Efficiency in 5G mmWave Networks With JT-CoMP Under Different Deployment Conditions by Mohamad Younes, Laurent Quibus

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A review on the charging strategy of wireless sensor networks utilizing mobile charging devices by Chen Yaqian, Jiao Wanguo, Zhou Lei

“…In this paper, we first introduce the research actuality of the charging strategy of the wireless sensor network by using mobile charging devices from different aspects. Then, the paper summarizes research results obtained by charging strategies using mobile charging vehicle or unmanned aerial vehicle, which include charging manner selection, travelling path optimization, the number of charging device minimization, and etc. …”
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Predicting potentially suitable Bletilla striata habitats in China under future climate change scenarios using the optimized MaxEnt model by Ming Luo, Pingfei Yang, Lili Yang, Zhihong Zheng, Yaya Chen, Huan Li, Mingkai Wu

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A Global Path Planning Algorithm Based on Bidirectional SVGA by Taizhi Lv, Chunxia Zhao, Jiancheng Bao

“…This algorithm does not construct a visibility graph before the path optimization. However it constructs a visibility graph and searches for an optimal path at the same time. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…A promising approach is to use several types of sensors and algorithms, combining the results of different algorithms to achieve a more optimal final result, so called sensor fusion. …”
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Path Choice of Emergency Logistics Based on Cumulative Prospect Theory by Chang-feng Zhu, Zheng-kun Zhang, Qing-rong Wang

“…In addition, perturbation analyses of related parameter are carried out to further reveal the influence mechanism between the prospect value of each path and related parameters. The result shows that the decision-making model can make emergency logistics path choice with higher efficiency and reliability under different complex interference conditions.…”
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Toward more realistic career path prediction: evaluation and methods by Elena Senger, Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank

“…Predicting career trajectories is a complex yet impactful task, offering significant benefits for personalized career counseling, recruitment optimization, and workforce planning. However, effective career path prediction (CPP) modeling faces challenges including highly variable career trajectories, free-text resume data, and limited publicly available benchmark datasets. …”
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Development and Evaluation of a Multi-Robot Path Planning Graph Algorithm by Fatma A. S. Alwafi, Xu Xu, Reza Saatchi, Lyuba Alboul

“…It produced solutions with optimal paths, i.e., the shortest and safest route. …”
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