A5101944440- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- Metaheuristic Optimization Algorithms Research
- Scheduling and Optimization Algorithms
- Distributed and Parallel Computing Systems
- Optimization and Search Problems
- Advanced Algorithms and Applications
- Algorithms and Data Compression
- Cloud Computing and Resource Management
- Power Systems and Renewable Energy
- Mathematics and Applications
- Assembly Line Balancing Optimization
- Modular Robots and Swarm Intelligence
- Network Packet Processing and Optimization
- Advanced Data Storage Technologies
- Smart Grid and Power Systems
- Matrix Theory and Algorithms
- Advanced Optimization Algorithms Research
- Gold and Silver Nanoparticles Synthesis and Applications
- Power Systems and Technologies
- Artificial Immune Systems Applications
- Nanocluster Synthesis and Applications
- Advanced Manufacturing and Logistics Optimization
Shandong Normal University
2015-2022
Northeast Electric Power University
2012-2014
It is very vital to construct the dense hot spots for strong surface-enhanced Raman scattering (SERS) signals. We take full advantage of MoS2 edge-active sites induced from annealing Ag film on surface MoS2. Furthermore, composite structure Au-Ag bi-metal nanoparticles (NPs)/MoS2 hybrid with pyramid obtained by in situ grown AuNPs around AgNPs, which serves optimal SERS performance (enhancement factor ~9.67 × 109) experiment. Due introduction simple method, denser contribute greatly stronger...
A new method using collective responses of starling birds is developed to enhance the global search performance standard particle swarm optimization (PSO). The named chaotic (CSPSO). In CSPSO, inertia weight adjusted a nonlinear decreasing approach and acceleration coefficients are logistic mapping strategy avoid prematurity process. dynamic disturbance term (DDT) used in velocity updating convergence algorithm. local inspired by behavior utilizing information nearest neighbors determine...
An extended clustering membrane system using a cell-like P with active membranes based on particle swarm optimization (PSO), named PSO-CP, is designed, developed, implemented, and tested. The purpose of PSO-CP to solve problems. In evolution rules the standard PSO mechanism are used evolve objects communication adopted accelerate convergence avoid prematurity. Subsystems generated dissolved by creation dissolution rules, modified developed help escape from local optima. Under control...
A new clustering membrane system using a complex chained P (CCP) based on evolutionary mechanism is designed, developed, implemented, and tested. The purpose of CCP to solve problems. In CCP, two kinds evolution rules in different membranes are used enhance the global search ability. first kind traditional modified particle swarm optimization (PSO) techniques evolve objects. Another differential (DE) introduced further improve communication adopted accelerate convergence avoid prematurity....
A simulation model about photovoltaic array which can track the maximum power point with function of changing it's resistances' structure is developed based on PSCAD. By connecting a associated electro circuit, we draw conclusion that almost review character actual device. Key worlds: array; MPPT; PSCAD;
Abstract In data centers, workload consolidation is the common method to improve resource utilization. However, efficient faces challenges from two aspects: first wide variety of program characteristics; second multiple performance indexes in clusters or such as requirement custom and system utilization cluster provider. this paper, experiments are executed about with restricted usage, four conclusions summarized. Then based on conclusions, individualized precise scheduling strategies...