A5100433323- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Reservoir Engineering and Simulation Methods
- Oil and Gas Production Techniques
- Metaheuristic Optimization Algorithms Research
- Cyclone Separators and Fluid Dynamics
- Enhanced Oil Recovery Techniques
- Advanced Multi-Objective Optimization Algorithms
- Control Systems and Identification
- Evolutionary Algorithms and Applications
- Peer-to-Peer Network Technologies
- Cooperative Communication and Network Coding
- Crystallization and Solubility Studies
- Fluid Dynamics and Mixing
- Mobile Ad Hoc Networks
- Multimedia Communication and Technology
- Image and Video Quality Assessment
- X-ray Diffraction in Crystallography
- Drilling and Well Engineering
- Refrigeration and Air Conditioning Technologies
- Adaptive Control of Nonlinear Systems
- Hydraulic Fracturing and Reservoir Analysis
- Iterative Learning Control Systems
- Stability and Control of Uncertain Systems
- Spacecraft and Cryogenic Technologies
Aalborg University
2016-2025
Ningbo University
2025
Kenyon College
2025
North China Electric Power University
2002-2024
Xinjiang Academy of Agricultural Sciences
2023-2024
Chengdu University of Technology
2022-2024
National University of Defense Technology
2011-2024
University of Hong Kong - Shenzhen Hospital
2023-2024
Qilu University of Technology
2023-2024
Shandong Academy of Sciences
2023-2024
In this paper we investigate several self-adaptive mechanisms to improve our previous work on NSDE, which is a recent DE variant for numerical optimization. The methods originate from another variant, SaDE, but are remarkably modified and extended fit NSDE. And thus NSDE (SaNSDE) proposed NSDEpsilas performance. Three utilized in SaNSDE: self-adaptation two candidate mutation strategies, self-adaptations controlling scale factor F crossover rate CR, respectively. Experimental studies carried...
In this paper, we propose a multilevel cooperative coevolution (MLCC) framework for large scale optimization problems. The motivation is to improve our previous work on grouping based (EACC-G), which has hard-to-determine parameter, group size, in tackling problem decomposition. decomposer takes size as parameter divide the objective vector into low dimensional subcomponents with random strategy. MLCC, set of decomposers constructed strategy different sizes. evolution process divided number...
Driven by both safety concerns and commercial interests, one of the key services offered vehicular networks is popular content distribution (PCD). The fundamental challenges to achieve high speed downloading come from highly dynamic topology ad hoc network (VANET) lossy nature wireless communications. In this paper, we introduce CodeOn, a novel push-based PCD scheme where contents are actively broadcasted vehicles road side access points further distributed among using cooperative VANET....
In this paper we propose three techniques to improve the performance of one major algorithms for large scale continuous global function optimization. Multilevel Cooperative Co-evolution (MLCC) is based on a Co-evolutionary framework and employs technique called random grouping in order group interacting variables subcomponent. It also uses another adaptive weighting co-adaptation subcomponents. We prove that probability subcomponent using drops significantly as number increases. This calls...
Most reported studies on differential evolution (DE) are obtained using low-dimensional problems, e.g., smaller than 100, which relatively small for many real-world problems. In this paper we propose two new efficient DE variants, named DECC-I and DECC-II, high-dimensional optimization (up to 1000 dimensions). The algorithms based a cooperative coevolution framework incorporated with several novel strategies. strategies mainly focus problem decomposition subcomponents cooperation....
The past decades have witnessed a rapid growth of Distributed Interactive Multimedia Environments (DIMEs). Despite their intensity user-involved interaction, the existing evaluation frameworks remain very much system-centric. As step toward human-centric paradigm, we present conceptual framework Quality Experience (QoE) in DIMEs, to model, measure, and understand user experience its relationship with traditional Service (QoS) metrics. A multi-displinary approach is taken build up based on...
Vehicle-to-grid (V2G) networks are important components of the smart grid (SG) for their capability providing better ancillary services and facilitating adoption renewable resources. The operation V2G is based on continuously monitoring status individual battery vehicle (BV) as well a carefully designed incentive scheme to attract sufficient participating BVs. However, close tends raise privacy concerns from BV owners about identity location information leakage, which have not been...
Sentiment analysis or opinion mining is an important type of text that aims to support decision making by extracting and analyzing oriented text, identifying positive negative opinions, measuring how positively negatively entity (i.e., people, organization, event, location, product, topic, etc.) regarded. As more users express their political religious views on Twitter, tweets become valuable sources people's opinions. Tweets data can be efficiently used infer opinions for marketing social...
A new multichannel MAC protocol called hop-reservation multiple access (HRMA) for wireless ad-hoc networks (multi-hop packet radio networks) is introduced, specified and analyzed. HRMA based on simple half-duplex, very slow frequency-hopping spread spectrum (FHSS) radios takes advantage of the time synchronization necessary frequency-hopping. allows a pair communicating nodes to reserve frequency hop using reservation handshake mechanism that guarantee collision-free data transmission in...
Drones are enabling new forms of cinematography. Aerial filming via drones in action scenes is difficult because it requires users to understand the dynamic scenarios and operate drone camera simultaneously. Existing systems allow user manually specify shots guide capture footage, while none them employ aesthetic objectives automate aerial scenes. Meanwhile, these cinematography depend on external motion perceive human action, which limited indoor environment. In this paper, we propose an...