Global Adaptive Harmony Search Algorithm and Its Application in Rough Set Reduction

摘要

Inspired by the particle swarm optimization algorithm, the global information is added to the adaptive harmony search algorithm. The Global adaptive harmony search algorithm is proposed in this paper. Then five criteria are used to test the new algorithm. And its application to attribute reduction is given. The simulation result shows the effectiveness and feasibility of the algorithm.