A5014537107- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Robotic Mechanisms and Dynamics
- Advanced Multi-Objective Optimization Algorithms
- Educational Reforms and Innovations
- Advanced Algorithms and Applications
- Gear and Bearing Dynamics Analysis
- Advanced Materials and Mechanics
- Remote Sensing and Land Use
- Pain Management and Treatment
- Transcranial Magnetic Stimulation Studies
- Robotic Path Planning Algorithms
- Machine Fault Diagnosis Techniques
- Process Optimization and Integration
- Micro and Nano Robotics
- Remote Sensing in Agriculture
- Innovative Educational Techniques
- Mechanical Engineering and Vibrations Research
- Dynamics and Control of Mechanical Systems
- Soft Robotics and Applications
- Advanced Control Systems Optimization
- Advanced Decision-Making Techniques
- Fault Detection and Control Systems
- Piezoelectric Actuators and Control
- Mechanical stress and fatigue analysis
Shenzhen Polytechnic
2021-2024
Peng Cheng Laboratory
2019-2024
Guangxi Normal University
2024
Northeastern University
2018-2019
University of Virginia
2012-2014
Beijing University of Posts and Telecommunications
2012
The proper selection of parameters, kernel parameter g, penalty factor c, non-sensitive coefficient p Support Vector Regression (SVR) model can optimize SVR's performance. most commonly used approach is grid search. However, when the data set large, a terribly long time will be introduced. Thus, we propose an improved algorithm to reduce searching by number doing cross-validation test. Firstly, c could calculated empirical formula. Then best g found general search with achieved and p-value...
<title>Abstract</title> L-SHADE represents a modified form of the Differential Evolution (DE) algorithm, blending Linear Population Size Reduction (LPSR) with SHADE, Success-History-Based Adaptation DE. While acknowledged for its effectiveness, occasionally tends toward local optima and may converge too soon, especially during complex optimization challenges. Addressing these challenges, we introduce L-SHADE-MA, an advanced iteration employing momentum-based mutation strategy. This approach...
Industry-education integration is a deep collaboration between vocational colleges and enterprises to improve their own personnel training quality. Its importance lies in that it can break the barriers education industry, so industry infiltrate promote each other, as realize organic connection industrial demand. In order overall teaching quality of schools, necessary professional development "dual-teacher" teachers higher colleges, strive cultivate group teachers. At present, there are...
This paper proposes a new constraint handling method for the path generation problem, called error feedback (EFM), which is used to replace popular penalty functional method. redistributes solutions that do not satisfy conditions in proportion, so each offspring can effectively participate iterative process, avoid wasting additional computing resources. To test performance, respectively, EFM and are applied other heuristic algorithms such as particle swarm optimization (PSO), differential...
L-SHADE represents a modified form of the Differential Evolution (DE) algorithm, blending Linear Population Size Reduction (LPSR) with SHADE, Success-History-Based Adaptation DE. While acknowledged for its effectiveness, occasionally tends toward local optima and may converge too soon, especially during complex optimization challenges.Addressing these challenges, we introduce L-SHADE-MA, an advanced iteration employing momentum-based mutation strategy. This approach minimizes oscillatory...
With the deepening of new curriculum reform in our country, teaching mode and philosophy have been innovated transformed.While improving quality classroom teaching, it is good for cultivating students' comprehensive qualities meeting needs educational age.This paper analyzes exploration practice construction automobile detection repair technology specialty higher vocational colleges order to provide effective theoretical reference professional education today.
The recovery of autonomous underwater vehicles (AUVs) has been a challenging mission due to the limited localization accuracy and movement capability AUVs. To overcome these limitations, we propose novel design deployable robot (DUR) for mission. Utilizing origami structure, DUR can transform between open closed states maximize performance at different stages. At approaching stage, will remain state reduce drag force. While capturing state, deploy form much larger opening improve success...