Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm

Chen, Liang; Sun, Hanxu

doi:10.1109/access.2021.3060738

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…During the plate, most of them use AutoCAD to plate, and the code itself in the DXF format file is good readability, which is convenient for users to modify. erefore, this study stores the resulting sample contour as a DXF format and finally uses the VisualC++ programming, saving the vectorized data of the saved DXF format to the CAD plate [14].…”

Section: Vectorized Data Formatmentioning

confidence: 99%

Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm

Liu

Shao

et al. 2022

Advances in Multimedia

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In order to reduce the difficulty of clothing diversity on the edge extraction link, this study proposes an improved Canny algorithm that segments the pattern, styles, and contours of the clothing image after creating a sample library of a women’s image. Extract, improve the accuracy of the edge, and reduce the noise formed by texture and clothing. The results show that in the simulation experiment, the contour extraction of multiple categories of clothing is carried out, and compared with the differential operator algorithm and Canny algorithm, the experimental results show that the improved algorithm can more accurately segment the edge of clothing, extract the style contour, and express the characteristics of clothing.

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Section: Vectorized Data Formatmentioning

confidence: 99%

Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm

Liu

Shao

et al. 2022

Advances in Multimedia

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“…The artificial potential field method (APFM) is a renowned path planning method extensively employed in domains such as unmanned vehicles [19], drones [20,21], and robotic arms [22] owing to its succinct mathematical formulation and rapid computational efficiency. However, it is prone to be susceptible to get stuck in local optima and may fail to reach the target point if the distance to obstacles is too close, or alternatively, it may lead to potential collisions when the distance is excessive.…”

Section: Introductionmentioning

confidence: 99%

A Novel Strategy for Hypersonic Vehicle With Complex Distributed No-Fly Zone Constraints

Zhengxin,

Shifeng

2024

International Journal of Aerospace Engineering

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Aiming at solving trajectory planning problem with complex distributed no-fly zone constraints, this paper proposed a novel obstacle avoidance strategy. For longitudinal motion, an angle of attack adjustment method is employed to adjust lift and design the angle of attack profile, while adjusting the bank angle for range and altitude correction to meet terminal constraints. For lateral motion, this paper developed enhanced attractive, repulsive, and velocity potential fields. Combined with the proposed repulsive force reconstruction method, this effectively resolves the overmaneuvering problem of traditional artificial potential field methods (APFMs) for vehicle. In order to avoid mismatched magnitudes of attractive and repulsive forces, a complementary no-fly zone avoidance strategy based on minimum turn radius is introduced, updating the bank angle command during no-fly zone avoidance. Simulation results indicate that the proposed strategy can address the avoidance of sudden threat, proving to be feasible and effective for handling complex distributed no-fly zone avoidance problems.

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“…Therefore, more and more researchers have devoted themselves to the research of intelligent optimization algorithms for large-scale and complex problems. For example, meta-heuristic algorithms have good performance on many large-scale and real-world engineering optimization problems, e.g., electric vehicle field [15], electromechanical field [16], mobile robotic filed [17], multimodal optimization problem [18]. The meta-heuristic algorithms have also been proposed to solve the problem of resource allocation in wireless networks.…”

Section: Introduction 1motivationmentioning

confidence: 99%

DE based Resource Allocation for D2D assisted NOMA Systems

Jia

Tian

et al. 2023

Preprint

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The explosion of wireless network services forces us to seek new technologies and resource allocation schemes. Three joint resource allocation frameworks for device-to-device (D2D) communication in non-orthogonal multiple access (NOMA) assisted multi-cell systems are proposed. D2D can reduce the access pressure of base station (BS) equipment, and NOMA can multiplex network spectrum resources, and the integration of them can further improve the performance of multi-cell networks. We investigate the joint user association, resource block (RB) assignment, and power allocation problem in multi-cell systems with the aim of maximizing the sum rate of D2Ds. To solve this mixed-integer non-linear programming (MINLP) problem, we propose three differential evolution (DE) algorithms. First, we invoke the coevolution DE-based resource allocation (CDRA) framework which encodes the RB assignment and power allocation into the same individual for evolution. Second, we invoke the iteration-combining DE-based resource allocation (IDRA) framework, which adopts two-steps DE algorithm to solve optimal power allocation and RB assignment scheme iteratively. Last, we invoke the power-repairing DE-based resource allocation (PDRA) framework, which combines a similar joint RB assignment and power allocation as CDRA, where power repair is added after each iteration. Simulation results demonstrate that: \romannumeral1) the integration of D2D and NOMA techniques is capable of enhancing the achievable sum rate of D2Ds; \romannumeral2) the proposed three proposed frameworks for multi-cell NOMA networks can effectively optimize the objective function. However, comparing with CDRA and IDRA, PDRA performs better in terms of convergence speed and maximum D2D rate.

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Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm

Cited by 9 publications

References 16 publications

Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm

Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm

A Novel Strategy for Hypersonic Vehicle With Complex Distributed No-Fly Zone Constraints

DE based Resource Allocation for D2D assisted NOMA Systems

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