- Pulsars and Gravitational Waves Research
- Scheduling and Optimization Algorithms
- Gamma-ray bursts and supernovae
- Cloud Computing and Resource Management
- Advanced Manufacturing and Logistics Optimization
- Power Quality and Harmonics
- Astrophysical Phenomena and Observations
- Optimization and Packing Problems
- Magnetic Properties and Applications
- Cosmology and Gravitation Theories
- Optimization and Search Problems
- Geophysics and Sensor Technology
- Power Systems Fault Detection
- Power Systems and Renewable Energy
- Geophysics and Gravity Measurements
- Assembly Line Balancing Optimization
- Neural Networks and Applications
- Engineering Technology and Methodologies
- Seismic Waves and Analysis
- Interconnection Networks and Systems
- Probabilistic and Robust Engineering Design
- Distributed and Parallel Computing Systems
- Manufacturing Process and Optimization
- Astrophysics and Cosmic Phenomena
- Radio Astronomy Observations and Technology
Huazhong University of Science and Technology
2020-2023
China Railway Construction Machinery Research & Design Institute
2023
Tsinghua University
2014-2020
University of Electronic Science and Technology of China
2013
Shenyang University of Technology
2009
The existing production scheduling mode ignores ladle dispatching resulting in the increase of energy consumption heating and instability production. Hence, we study energy-efficient integration optimization this paper. Specifically, a mixed integer linear programming model is formulated to coordinate time-dependent correlations between them quantify them. Moreover, an enhanced migrating birds algorithm (EMBO) proposed tackle NP-hard problem. In algorithm, three-level rule-based heuristic...
To address the printed circuit board shop scheduling problem, a dynamic based on multi-indicator bottleneck degree is proposed to formulate this complex flexible job problem (FJSP). Then, degree-based migrating birds optimization algorithm (MBO) tackle NP-hard problem. Specifically, assessment model first developed obtain degree, and then two-layer code-decoding structure variable domain addition of improved migratory bird with competitive mechanisms are employed improve effectiveness....
The pull type production control system has been of a continuing interest and challenge for researchers practitioners since its advent. However, the bottleneck problems under this mechanism have not yet studied in-depth. This approach proposed Hybrid Knaban/Conwip system, which combined advantages Conwip Kanban strategy, as well theory constraints (TOC). hybrid model is formulated with respect to DBR (drum-buffer-rope) technique novel TOC based resources discovery scheduling presented. To...
Dynamic Voltage Compensator (DVR) is able to handle the dynamic power quality problems in distribution network, such as voltage sags and unbalance, parameters of output filter will have important affect on compensation results. In this paper, parameter design method a cascaded H-bridge based DVR applied medium-voltage grid studied. Through analysis case when inductor current has maximum value, theoretical expression relationship between low limit value capability factor derived. Meanwhile,...
This paper considers online energy-efficient scheduling of real-time virtual machines (VMs) for Cloud data centers. Each request is associated with a starttime, end-time, processing time and demand Physical Machine (PM) capacity. The goal to schedule all the requests non-preemptively in their start-timeend- windows, subjecting PM capacity constraints, such that total busy used PMs minimized (called MinTBT-ON abbreviation). problem fundamental parallel jobs allocation on mutliple machines, it...
When allocating virtual machines (VMs) in data centers, weights such as profits and other benefits are associated with all VMs. This paper considers maximizing the total weight VMs allocation. As virtualization widely adopted Cloud computing, requests may only consume part of capacity a single hardware resource (for example physical machine), this requires new model for weight. In paper, first time we problem shared interval scheduling proportional propose an exact efficient algorithm it...
The combination of industrial information technology, automation technology and design manufacturing can not only give full play to the advantages existing but also optimize process practical operation skills injection molding machines, ensure accuracy simplicity precision processing processes, improve quality efficiency products. On other hand, it effectively guide urgently needed intelligent talents in China, promote career transformation universities, use talents, technological...
Binary Output Systems (BOSs) generate Bernoulli distributed outputs with the given parameter. Such systems are quite common in various fields, and system performance is usually measured by success rate or correct rate. Traditional parameter optimization methods utilize approximations calculated averaging binary outputs. The used only once approximation process, little about internal relationship between different considered. In this article, we propose a novel method named Iterative...
The design of a Dynamic Voltage Restorer that is suitable for compensating regional voltage sags in 10kV distribution system introduced this paper. the main circuit based on cascaded H-bridge, device energize DVR and transformer-less coupled are presented. For neutral point non-grounded system, reference calculation method with aim to restore line voltages load side put forward. simulation model substation including designed has been built PSCAD, compensation results under different fault...
This paper proposes the designing of regional compensation type Dynamic Voltage Restorer (DVR), and topology main circuit, detection algorithm for voltage sag, calculation method reference pulse modulation method. Based on different load types target substation sensitivity to sags, selection principle location line DVR is proposed, realization feeder illustrated by taking a as an example. The effect under fault are simulated, validity rationality verified.
More and more manufacturing companies are adopting a multi-variety, low-volume production model, there bottlenecks in the workshop due to different demands on machine capacity for products. The presence of bottleneck will severely limit daily output workshop, reducing productivity profits. In this paper, an improved Jaya algorithm based problem characteristics is proposed solve single optimization within intelligent mode. Firstly, under mode, flexible factor considered, which effectively...