A5037080088- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Advanced Algorithms and Applications
- Vehicle Routing Optimization Methods
- Evolutionary Algorithms and Applications
- Robot Manipulation and Learning
- 3D Surveying and Cultural Heritage
- Robotic Path Planning Algorithms
- E-commerce and Technology Innovations
- Plant and animal studies
- Plant Stress Responses and Tolerance
- Photosynthetic Processes and Mechanisms
- 3D Shape Modeling and Analysis
- Insect and Arachnid Ecology and Behavior
- Simulation and Modeling Applications
- Diffusion and Search Dynamics
- Optimal Experimental Design Methods
- Image Processing and 3D Reconstruction
- CCD and CMOS Imaging Sensors
- Artificial Immune Systems Applications
- Simulation Techniques and Applications
- Scheduling and Optimization Algorithms
- Reservoir Engineering and Simulation Methods
- Plant Micronutrient Interactions and Effects
- Phytase and its Applications
South China University of Technology
2024-2025
Nanchang Institute of Technology
2021-2023
Hangzhou Normal University
2023
Sichuan Agricultural University
2018
Perception and interaction with articulated objects present a unique challenge for service robots. Although recent research has emphasized understanding shapes affordance proposals, existing methods only address isolated aspects, failing to develop comprehensive strategies robotic perception manipulation of objects. To bridge this gap, we propose GMAP, which systematically integrates the entire process from command manipulation. Specifically, first perform precise part-level segmentation...
β-Elemene (C15H24), a sesquiterpenoid compound isolated from the volatile oil of Curcuma wenyujin, has been proven to be effective for multiple cancers and is widely used in clinical treatment. Unfortunately, β-elemene content C. wenyujin very low, which cannot meet market demands. Our previous research showed that methyl jasmonate (MeJA) induced accumulation wenyujin. However, regulatory mechanism unclear. In this study, 20 ZIM-domain (JAZ) proteins were identified, are core factors JA...
With the advance of sequencing technology, number sequenced plant genomes has been rapidly increasing. However, understanding gene function in these lags far behind; as a result, many coding sequences public databases are annotated proteins with domains unknown (DUF). Function protein family DUF810 rice is not known. In this study, we analysed seven members OsDU810 (OsDUF810.1-OsDUF810.7) three distinct motifs Nipponbare. By phylogenetic analysis, OsDUF810 fall into major groups (I, II,...
Artificial bee colony (ABC) is an efficient global optimisation algorithm. It has attracted the attention of many researchers because its simple concept and strong exploration. However, it exhibits weak exploitation capability. To improve this case, a novel ABC with modified search strategy (namely MSABC) proposed in work. In MSABC, some elite solutions are preserved used to guide search. addition, MSABC uses generate offspring replace probability selection onlooker phase. evaluate...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL Reinforcement Learning Driven Dual Neighborhood Structure Artificial Bee Colony Algorithm with Adaptive Search 35 Pages Posted: 24 Feb 2024 See all articles by Tingyu YeTingyu YeSouth China University of TechnologyPing ZhangSouth TechnologyHongliang ZengSouth TechnologyJiahua WangSouth Technology Abstract bee colony algorithm (ABC) is one the most...
In the field of 2D image generation modeling and representation learning, Masked Generative Encoder (MAGE) has demonstrated synergistic potential between generative learning. Inspired by this, we propose Point-MAGE to extend this concept point cloud data. Specifically, framework first utilizes a Vector Quantized Variational Autoencoder (VQVAE) reconstruct neural 3D shapes, thereby learning discrete semantic features patches. Subsequently, combining masking model with variable ratios, achieve...
Precise perception of articulated objects is vital for empowering service robots. Recent studies mainly focus on point cloud, a single-modal approach, often neglecting texture and lighting details assuming ideal conditions like optimal viewpoints, unrepresentative real-world scenarios. To address these limitations, we introduce MARS, novel framework object characterization. It features multi-modal fusion module utilizing multi-scale RGB to enhance cloud features, coupled with reinforcement...
Precise perception of articulated objects is vital for empowering service robots. Recent studies mainly focus on point cloud, a single-modal approach, often neglecting texture and lighting details assuming ideal conditions like optimal viewpoints, unrepresentative real-world scenarios. To address these limitations, we introduce MARS, novel framework object characterization. It features multi-modal fusion module utilizing multi-scale RGB to enhance cloud features, coupled with reinforcement...
Search strategies play an essential role in artificial bee colony (ABC) algorithm. Different optimisation problems and search stages may need different strategies. However, it is difficult to choose appropriate strategy. To tackle this issue, paper proposes a data-driven ABC algorithm based on radial basis function neural network (called RBF-ABC). Firstly, strategy pool with three distinct built. The (RBF) applied evaluate offspring generated by the best evaluation value used guide search....