Li Fu Wang

Analysis of FBG Reflection Spectrum with PSO Algorithm

When the parameters were measured by using fiber Bragg grating (FBG) in practice, there were some parameters hard to measure, which would influenced the reflective spectral of FBG severely, and make the characteristic information harder to be extracted. Therefore, particle swarm optimization algorithm was proposed in analyzing the uniform force reflective spectral of FBG. Based on the uniform force sense theory of FBG and particle swarm optimization algorithm, the objective function were established, meanwhile the experiment and simulation were constructed. And the characteristic information in reflective spectrum of FBG was extracted. By using particle swarm optimization algorithm, experimental data showed that particle swarm optimization algorithm used in extracting the characteristic information not only was efficaciously and easily, but also had some advantages, such as high accuracy, stability and fast convergence rate. And it was useful in high precision measurement of FBG sensor.

An Improved Novel Global Harmony Search Algorithm

This paper develops an improved novel global harmony search (INGHS) algorithm for solving optimization problems. INGHS employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of novel global harmony search (NGHS) algorithm. Simulations for five benchmark test functions show that INGHS possesses better ability to find the global optimum than that of harmony search (HS) algorithm. Compared with NGHS and HS, INGHS is better in terms of robustness and efficiency.

Normal Parameter Reduction in Soft Set Based on Harmony Search Algorithm

The normal parameter reduction in soft set is difficult to application in data mining because of great calculation quantity. In this paper, the intelligent optimization algorithm, the harmony search algorithm, is applied to solve the problem. The normal parameter reduction model is constructed and the harmony search algorithm is designed. Experience has shown that the method is feasible and fast..

A Locally Exponential Synchronization Criterion for Complex Networks

The exponential synchronization problem of complex networks is investigated. The complex network model considered is a moving agent network in a two dimensional space and the coupling of between nodes is nonlinear links. In order to achieve the objective of exponential synchronizaiton, linearizing error system is presented. Base on the Lyapunov stability theory, a new criterion is proposed for exponetial synchronization of moving agnets networks under the condition of fast switching. In addition, an numerical example of the Lorenz chaotic system are analyzed, and numerical simulations results show the effectiveness of proposed exponential synchronization criterion.

Global Synchronization of Moving Agent Networks with Time-varying Topological Structure

The synchronization of moving agent networks with linear coupling in a two dimensional space is investigated. Base on the Lyapunov stability theory, a criterion for the synchronization is achieved via designed decentralized controllers. And, an example of typical moving agent network, having the Rössler system at each node, has been used to demonstrate and verify the design proposed. And, the numerical simulation results show the effectiveness of proposed synchronization approaches.

Characteristics of 2D Cylindrical Photonic Crystals Band Gap with Square Lattice

The structure of two-dimensional (2D) photonic crystals (PCs) with square lattice is proposed in this paper, and researches on characteristics of photonic band gap (PBG) are conducted using finite difference time domain (FDTD) method, then the effects of the dielectric constant and the radius of dielectric rods on band gap are analysed, dielectric rods in air (rods/air). The research results indicate that in the case of TE and TM polarization mode, the difference value of dielectric constant of medium and dielectric rods affects forming PBG.The band gap broadens with the difference value increasing. Whats more, the complete band gap (CBG) appears in range of large rods radius structure when dielectric constants of rods are smaller than that of medium.

Harmony Search Optimization Algorithm Based on Normal Cloud

The pitch adjusting rate (PAR) is an important parameter in harmony search algorithm, which indicates that the algorithm will choose a neighboring value with a probability. The traditional harmony search algorithm uses fixed value for PAR. However, PAR should be increased when all objective values are centralized and decreased when the function values are scattered in the solution space. In this paper, a new cloud harmony search algorithm (CHS) is proposed. We introduce cloud model theory to adjust the value PAR in the harmony search to improve the global search ability and make faster convergence speed of the algorithm. The improved harmony search algorithm is tested on some benchmark functions and the results are compared with the result of the traditional harmony search. Experimental results indicate that the improved harmony search algorithm has a good performance in the global search ability and convergent speed.

Harmony Search Algorithm Based on Cloud Theory

The parameter bw is a distance bandwidth between 0 and 1 in harmony search algorithm, which helps the algorithm in finding globally and locally improved solution. In this paper, a new harmony search algorithm is proposed in order to improve the convergence speed and the global search algorithm of the harmony search algorithm. The parameter bw is adjusted based on cloud theory in this new algorithm. The new algorithm is tested on some benchmark functions and the results are compared with the result of the traditional harmony search. Experimental results indicate that the new harmony search algorithm has a good performance in the global search ability and convergent speed.

Local Synchronization for Time Varying Topological Networks

In this paper, local synchronization problem of complex networks is theoretically and numerically studied. Base on the Lyapunov stability theory, a sufficient criterion for local synchronization of complex network which have the time-varying connection topologies is derived via designed decentralized linear controllers. And a numerical example of typical the Rössler network system with time-varying linear coupling has been used to demonstrate and verify the proposed. And, the simulation results show the effectiveness of proposed synchronization approaches.

A New Clustering Routing Algorithm for WSN Based on PSO

A wireless sensor network (WSN) consists of spatially distributed wireless sensor nodes. The node power constrains the development of WSN. Employing techniques of clustering can reduce energy consumption of wireless sensor nodes and prolong the network lifetime. Therefore, in the study a new clustering routing algorithm is presented. The clustering algorithm uses the double-layer sensor nodes to communicate. And in order to optimize power energy consumption for WSN node energy, PSO algorithm is employed to find cluster head in each layer. Simulation results show that the algorithm not only can equal power energy of node, but also can reduce consumption in the long distance data transmission.