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Erschienen in:
2011 | OriginalPaper | Buchkapitel
The Application on Attribute Reduction by Using Bacterial Foraging Optimization and PSO Algorithm
verfasst von : Wang Jianguo
Erschienen in: Emerging Research in Artificial Intelligence and Computational Intelligence
Verlag: Springer Berlin Heidelberg
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Inspired by the bacteria foraging process, the thought of bacteria foraging algorithm used in particle swarm algorithm, this paper puts forward a kind of bacteria foraging particle swarm algorithm. For the trend of the operation process of bacteria can guide particles toward the more optimal direction evolve, and the particle swarm algorithm and improve bacteria foraging algorithm convergence speed and optimization ability. And the algorithm is applied to attribute reduction. Numerical results show that the proposed bacteria foraging particle swarm optimization algorithm of the reduction in optimization ability, are better than Hu algorithm, particle swarm reduction algorithm and bacteria foraging reduction algorithm, can get a better minimum attribute reduction.