An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs

Chen, Jinchao; Zhang, Ying; Wu, Lianwei; You, Tao; Ning, Xin

doi:10.1109/tits.2021.3131473

Cited by 129 publications

(68 citation statements)

References 34 publications

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“…The entire decision-making process is straightforward, intuitive, and simple to comprehend, with a good classification effect. However, because the data mining technique involves so many association rules, it is not ideal for clustering [ 11 , 12 ] and is instead employed for classification. The decision tree method is well suited to processing nonnumeric data, particularly on a large scale.…”

Section: Decision Tree Algorithm Before and After Improvement Based O...mentioning

confidence: 99%

MOOC and Flipped Classroom Task-Based English Teaching Model for Colleges and Universities Using Data Mining and Few-Shot Learning Technology

Gong

Zhou

2022

Computational Intelligence and Neuroscience

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As a revolutionary education model, the flipped classroom teaching model has unique advantages over the traditional education model. How to change the teaching method of flipped classroom into a teaching method suitable for college English courses is a problem. The goal of this research is to investigate how to use data mining and few-shot learning technology to investigate the impact of MOOC and flipped classroom task-based college English teaching modes. This work provides a data mining-based decision tree algorithm and examines the enhanced decision tree method. The experimental results of this study demonstrate that two students in each of the two groups believe that the English teaching mode, which is mostly taught by traditional teachers, is very favorable to a thorough understanding of basic knowledge, accounting for 4% of the total. There are 17 students that believe the new teaching methodology is really beneficial, accounting for 34% of the total. This mode was determined to be effective for in-depth knowledge of the basics by a total of 25 students. It can be seen that the flipped classroom model is more popular with students.

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Section: Decision Tree Algorithm Before and After Improvement Based O...mentioning

confidence: 99%

MOOC and Flipped Classroom Task-Based English Teaching Model for Colleges and Universities Using Data Mining and Few-Shot Learning Technology

Gong

Zhou

2022

Computational Intelligence and Neuroscience

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“…International Journal of Aerospace Engineering constraints [9]. Path planning algorithms are usually divided into global path planning algorithms and local path planning algorithms [10].…”

Section: Related Workmentioning

confidence: 99%

Path Planning of Unmanned Helicopter in Complex Environment Based on Heuristic Deep Q-Network

Yao

et al. 2022

International Journal of Aerospace Engineering

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Unmanned helicopters (UH) can evade radar detection by flying at ultralow altitudes, so as to conduct raids on targets. Path planning is one of the key technologies to realize UH’s autonomous completion of raid missions. Since the probability of UH being detected by radar varies with height, how to accurately identify the radar coverage area to avoid crossing has become a difficult problem in UH path planning. Aiming at this problem, a heuristic deep Q-network (H-DQN) algorithm is proposed. First, as part of the comprehensive reward function, a heuristic reward function is designed. The function can generate dynamic rewards in real time according to the environmental information, so as to guide the UH to move closer to the target and at the same time promote the convergence of the algorithm. Second, in order to smooth the flight path, a smoothing reward function is proposed. This function can evaluate the pros and cons of UH’s actions, so as to prompt UH to choose a smoother path for flight. Finally, the heuristic reward function, the smooth reward function, the collision penalty, and the completion reward are weighted and summed to obtain the heuristic comprehensive reward function. Simulation experiments show that the H-DQN algorithm can help UH to effectively avoid the radar coverage area and successfully complete the raid mission.

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“…e logistics park will bring together a variety of logistics functions and run specialized and large-scale operations, all of which will help to maximize the overall bene ts of logistics resources by promoting the advancement of logistics technology and service levels, sharing related facilities, lowering operating costs, and improving economies of scale [4]. Many cities, as strategic key logistics cities, must urgently optimize and upgrade logistics parks in order to reduce logistics costs and increase cluster e ect [5]. Port logistics parks have been built in a number of locations.…”

Section: Introductionmentioning

confidence: 99%

Planning and Layout of Intelligent Logistics Park Based on Improved Genetic Algorithm

Wang

2022

Mobile Information Systems

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Based on the intelligent logistics park layout planning project, this article systematically studies the layout planning of intelligent logistics park from all aspects by combining research and analysis with investigation. This article discusses the principles and methods of location and layout of logistics parks and studies the location and layout decision of logistics parks. Based on the analysis of the functional design and regional layout of the logistics park, the location and layout of the logistics park are modeled. The improved GA is added to the systematic layout design method, and the layout planning process of logistics park is established according to the characteristics of logistics park design and planning. When determining the objective function, on the basis of the original fixed cost of logistics park construction, the logistics distribution cost is introduced into the planning and layout. Moreover, different from the facility layout planning, the goal of improving the layout also increases the operating cost. Finally, based on the improved GA, the layout of intelligent logistics park is planned, and a satisfactory layout scheme is obtained. Experiments show that the error of this algorithm is only 0.54, which is 0.6 lower than that of traditional planning methods. It can provide theoretical support and decision-making basis for the planning and layout of intelligent logistics parks.

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An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs

Cited by 129 publications

References 34 publications

MOOC and Flipped Classroom Task-Based English Teaching Model for Colleges and Universities Using Data Mining and Few-Shot Learning Technology

MOOC and Flipped Classroom Task-Based English Teaching Model for Colleges and Universities Using Data Mining and Few-Shot Learning Technology

Path Planning of Unmanned Helicopter in Complex Environment Based on Heuristic Deep Q-Network

Planning and Layout of Intelligent Logistics Park Based on Improved Genetic Algorithm

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