A Knowledge Reduction Algorithm Based on IPSO
Proposes a reduction algorithm based on improved particle swarm optimization(IPSO) after the momentum item and introduces the standard deviation of population to improve the particle swarm optimization.The experimental results of test example indicate that the new algorithm can find the minimal reduction quickly and effectively.It seems that the proposed new algorithm may be an efficient method for knowledge reduction of complex information systems.