A5032925806- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Robotic Path Planning Algorithms
- Assembly Line Balancing Optimization
- Optimization and Packing Problems
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
- Vehicle emissions and performance
- Environmental Impact and Sustainability
- Energy Load and Power Forecasting
- Manufacturing Process and Optimization
- Textile materials and evaluations
- Computational Geometry and Mesh Generation
- Image Enhancement Techniques
- Industrial Vision Systems and Defect Detection
- Digital Transformation in Industry
- Meat and Animal Product Quality
- Advanced Neural Network Applications
- Blockchain Technology Applications and Security
- Agriculture Sustainability and Environmental Impact
- Animal Nutrition and Physiology
- Optimization and Search Problems
- Industrial Automation and Control Systems
- Agricultural Engineering and Mechanization
China Three Gorges University
2019-2025
Huazhong University of Science and Technology
2017-2019
This paper presents an improved egg carrier for supporting common types of eggs during slit inspection platform opeations. The conveys the forwards to position. consists three basic modules and has advantages adaptability, adjustability, low maintenance manufacturing costs, stable efficient operation. First, functions are analysed, preliminary design concepts solutions proposed via TRIZ theory. Second, structure is designed, material properties key parameters such as deformation simulated by...
Abstract Based on the counted power system emission factors of North China Power Grid, a community carbon emissions sample database is constructed. The support vector regression (SVR) model trained to forecast emissions, which optimized by genetic algorithm (GA). A warning designed according results. dynamic coefficient curve obtained fitting annual coefficients. time series SVR prediction constructed, while GA improved optimize its parameters. Taking Beijing Caochang Community as an...
Abstract A smooth and secure spatial path planning algorithm that integrates the improved ant colony optimization with corrective connected search strategy is proposed, aiming at heavy heading switching pressure of autonomous underwater vehicles sailing in complex marine environment. On one hand, to overcome low-dimensional domain inaccurate communication information traditional planning, connectivity adjacency designed based on grid environment model. other alleviate due large steering...
This paper addresses a bi-objective welding shop scheduling problem (BWSSP) aiming to minimise the total tardiness and machine interaction effect. The BWSSP is special flow-shop (FSP) which characterised by fact that more than one can process on job at certain stage. study analyses operation of structural metal manufacturing plant, includes various aspects such as sequence, machine-number-dependent processing time, lifting up down time different delivery time. A novel mixed-integer...
This paper focuses on a two-stage machining and welding scheduling problem based an investigation at structural metal manufacturing plant, aiming to minimise the total makespan. Several parts processed Stage one according classical job-shop are grouped into single construction component second stage. Fabrication of cannot begin until all comprising have been completed one. establishes novel mathematic model makespan by mainly considering dominance relationship between corresponding parts. In...
<title>Abstract</title> This paper presents an improved egg carrier for supporting common types of eggs currently available on the market during operation slit inspection platform. It can convey them forward to corresponding position. The consists three basic modules. has advantages adaptability different eggs, adjustability, low maintenance and manufacturing costs, stable efficient operation. Firstly, functions be realized by are analyzed, preliminary design ideas solutions proposed through...
Abstract In this paper, the bi-objective AUV path planning problem considering shortest and minimum smoothness is studied. Firstly, a mathematical model of established two-dimensional Cartesian coordinate system used to working environment. Then dual objective normalized transformed into an adaptation function by dimensionality reduction. An improved Genetic Algorithm proposed solve according its characteristics. initial solution generation strategy for n-1 equipartition method based on...
The supply-demand matching (SDM) strategy is an important part of the transaction mechanism design cloud manufacturing (CMfg) platforms, which has a significant impact on evolution trend ecosystems (CMEs). To help CMfg platform operators choose appropriate SDM strategy, first, process CME was qualitatively analyzed, and divided into three stages: germination period, growth period stable period. Then, types market agent behavior models, service demanders (SDs), providers (SPs) (POs), were...
Abstract Based on the counted power system emission factors of North China Power Grid(NCPG), a community carbon emissions sample database is constructed. The support vector regression (SVR) model trained to forecast emissions, which optimized by genetic algorithm(GA). A warning designed according results. dynamic coefficient curve obtained fitting annual coefficients NCPG. time series SVR prediction constructed and GA are improved optimize its parameters. Taking Beijing Caochang Community as...
To solve the problem of difficult detection and missed small low-information targets in piano paint surface defect detection, an improved YOLOv5 algorithm is proposed. The builds a recognition labeling model. First, perform data augmentation on original image. Then, add CA attention mechanism to backbone network focus information. Finally, improve upsampling operator neck replace loss function with DIoU effect. Experimental results show that this model not only improves accuracy general, but...
Abstract With the rapid development of new energy vehicle power industry, system automobiles is about to usher in a wave retirement. At present, most lithium battery packs are disassembled violently, which lack reasonable disassembly order. This causes waste time and cost during process. Some harmful parts will also pollute environment. In order improve efficiency retired lithium-ion packs, sequence planning problem (DSP) based on priority constraint graph studied this paper. After analyzing...
This paper addresses a bi-objective distribution permutation flow shop scheduling problem (FSP) with setup times aiming to minimize the makespan and total tardiness. It is very difficult obtain an optimal solution by using traditional approaches in reasonable computational time. presents appropriate non-dominated sorting Genetic Algorithm III based on reference point. The NEH strategy applied into generation of initial set. To validate performance improved NSGA (NNSGA III) quality diversity...
Abstract There are problems such as inaccurate expression of path environment information, large steering angle, and many inflection points in the autonomous underwater vehicle navigating complex sea area. Aiming at these problems, a mathematical model is established for planning shorter smoother path. An improved ant colony optimization based on three-dimensional(3D) modeling proposed this paper. The grid method used to implement 3D modeling. Through three spatial adjacency relationships...
The nesting problem, also known as the packing or bin is a classic and popular NP-hard problem that widely used in industries such metal cutting, leather, glass. current mainstream solution algorithm hybrid combining intelligent sequencing heuristic positioning, which has problems of long time low optimization efficiency. Inspired by machine learning method represented reinforcement learning, based on Sarsa-learning proposed this paper to solve two-dimensional(2D) irregular pieces reward...