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This study presents an optimization control strategy to improve the ride-through capability of voltage source converter-based high voltage direct current (VSC-HVDC) systems under unbalanced network conditions. To facilitate simple implementation and flexible operation, the current references are derived and synthesized into one generalized equation that introduces two individually adaptable parameters...
The Particle Swarm Optimization(PSO) algorithm,is a robust stochastic evolutionary algorithm based on the movement and intelligence of swarms. In this paper, a PSO-based algorithm for classification rule mining is presented. Compared with the Ant-Miner and ESIA in public domain data sets,the proposed method achieved higher predictive accuracy and much smaller rule list than Ant-Miner and ESIA.
This paper presents an optimization control strategy for power control of VSC-HVDC under unbalanced grid voltage conditions. For simple implementation and flexible operation, the current references are derived and synthesized into one generalized equation introducing two individually adaptable parameters. The two parameters can be adapted to eliminate the oscillations of instantaneous active and reactive...
With many potential applications in document management and Web searching, document classification has recently gained more attention. To efficiently resolve this problem, an efficient document classification algorithm based on neighborhood preserving embedding (NPE) and particle swarm optimization (PSO) is proposed in this paper. The document features are first extracted by the NPE algorithm, then...
To efficiently tackle materialized view selection problem in designing data warehouse, an efficient view selection algorithm based on particle swarm optimization (PSO) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than heuristic algorithm and genetic algorithm.
With advances in the computer technologies and the rapid development of Internet, information on the Internet is increasing exponentially. To efficiently retrieve relevant documents from the explosive growth of the Internet and other sources of information access, a novel Web document retrieval algorithm based on particle swarm optimization (PSO) and linear discriminant analysis (LDA) algorithm is...
The particle swarm optimization (PSO) algorithm, is a robust stochastic evolutionary algorithm based on the movement and intelligence of swarms. In this paper, a PSO-based algorithm for color image quantization is presented. Compared with other well-known color image quantization algorithm in commonly used images, the proposed algorithm is effective and achieves a quite fast executing speed.
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