Particle swarm optimization (PSO) is an efficient, robust and simple optimization algorithm. Most studies are mainly concentrated on better understanding of the standard PSO control parameters, such as acceleration co...Particle swarm optimization (PSO) is an efficient, robust and simple optimization algorithm. Most studies are mainly concentrated on better understanding of the standard PSO control parameters, such as acceleration coefficients, etc. In this paper, a more simple strategy of PSO algorithm called θ-PSO is proposed. In θ-PSO, an increment of phase angle vector replaces the increment of velocity vector and the positions are decided by the mapping of phase angles. Benchmark testing of nonlinear func- tions is described and the results show that the performance of θ-PSO is much more effective than that of the standard PSO.展开更多
The stability of the Newton-like algorithm in optimization flow control is considered in this paper. This algorithm is proved to be globally stable under a general network topology by means of Lyapunov stability theor...The stability of the Newton-like algorithm in optimization flow control is considered in this paper. This algorithm is proved to be globally stable under a general network topology by means of Lyapunov stability theory,without considering the round trip time of each source. While the stability of this algorithm with considering the round trip time is analyzed as well. The analysis shows that the algorithm with only one bottleneck link accessed by several sources is also globally stable,and all trajectories described by this algorithm ultimately converge to the equilibrium point.展开更多
In the paper, we conduct research on the office automation system development and practice based on database optimization and security enhancement technology. Office automation is with the rapid development of compute...In the paper, we conduct research on the office automation system development and practice based on database optimization and security enhancement technology. Office automation is with the rapid development of computer technology and puts forward a new concept, the abbreviation for OA, refers to the enterprise through the use of advanced science and technology, the allocation of the information resources in a reasonable manner, so as to improve the work efficiency and quality of staff, auxiliary management to make decisions, to obtain more economic benefits and main including images, text, audio, data and other information collection, and processing and storage. Among them, the office automation is based on the staff as the main body, with advanced scientific technology by combining with computer technology and form comprehensive office mode. Our proposed method serves as the novel paradigm for the development of the office automation which is meaningful.展开更多
In this research article, we analyze the multimedia data mining and classification algorithm based on database optimization techniques. Of high performance application requirements of various kinds are springing up co...In this research article, we analyze the multimedia data mining and classification algorithm based on database optimization techniques. Of high performance application requirements of various kinds are springing up constantly makes parallel computer system structure is valued by more and more common but the corresponding software system development lags far behind the development of the hardware system, it is more obvious in the field of database technology application. Multimedia mining is different from the low level of computer multimedia processing technology and the former focuses on the extracted from huge multimedia collection mode which focused on specific features of understanding or extraction from a single multimedia objects. Our research provides new paradigm for the methodology which will be meaningful and necessary.展开更多
基金the National Natural Science Foundation of China (Nos. 60625302 and 60704028)the Program for ChangjiangScholars and Innovative Research Team in University (No. IRT0721)+2 种基金the 111 Project (No. B08021)the Major State Basic Research De-velopment Program of Shanghai (No. 07JC14016)ShanghaiLeading Academic Discipline Project (No. B504) of China
文摘Particle swarm optimization (PSO) is an efficient, robust and simple optimization algorithm. Most studies are mainly concentrated on better understanding of the standard PSO control parameters, such as acceleration coefficients, etc. In this paper, a more simple strategy of PSO algorithm called θ-PSO is proposed. In θ-PSO, an increment of phase angle vector replaces the increment of velocity vector and the positions are decided by the mapping of phase angles. Benchmark testing of nonlinear func- tions is described and the results show that the performance of θ-PSO is much more effective than that of the standard PSO.
基金the National Outstanding Youth Foundation of China (Grant No.60525303)the NNSF of China( Grant No.60404022 and 60604004)+2 种基金the NSF of Hebei Province (Grant No.102160)the Special Projects in Mathematics Funded by Natural Science Foundation of Hebei Prov-ince(Grant No.07M005)the NS of Education Office in Hebei Province (Grant No.2004123).
文摘The stability of the Newton-like algorithm in optimization flow control is considered in this paper. This algorithm is proved to be globally stable under a general network topology by means of Lyapunov stability theory,without considering the round trip time of each source. While the stability of this algorithm with considering the round trip time is analyzed as well. The analysis shows that the algorithm with only one bottleneck link accessed by several sources is also globally stable,and all trajectories described by this algorithm ultimately converge to the equilibrium point.
文摘In the paper, we conduct research on the office automation system development and practice based on database optimization and security enhancement technology. Office automation is with the rapid development of computer technology and puts forward a new concept, the abbreviation for OA, refers to the enterprise through the use of advanced science and technology, the allocation of the information resources in a reasonable manner, so as to improve the work efficiency and quality of staff, auxiliary management to make decisions, to obtain more economic benefits and main including images, text, audio, data and other information collection, and processing and storage. Among them, the office automation is based on the staff as the main body, with advanced scientific technology by combining with computer technology and form comprehensive office mode. Our proposed method serves as the novel paradigm for the development of the office automation which is meaningful.
文摘In this research article, we analyze the multimedia data mining and classification algorithm based on database optimization techniques. Of high performance application requirements of various kinds are springing up constantly makes parallel computer system structure is valued by more and more common but the corresponding software system development lags far behind the development of the hardware system, it is more obvious in the field of database technology application. Multimedia mining is different from the low level of computer multimedia processing technology and the former focuses on the extracted from huge multimedia collection mode which focused on specific features of understanding or extraction from a single multimedia objects. Our research provides new paradigm for the methodology which will be meaningful and necessary.
