Adaptive harmony search algorithm and its application in rough set reduction

作者：Kong Zhi^*; Gao Li Qun; Wang Li Qian

来源：Control and Decision, 2009, 24(10): 1580-1584.

• Attribute reduction
• Attribute significance
• Harmony search
• Harmony search algorithms
• Multidimension
• Objective function values
• Rough set
• Rough set reduction
• Search efficiency
• Simulation result

To the shortcomings of the improved harmony search (IHS) algorithm, The adaptive harmony search (AHS) algorithm is proposed, which uses the maximum difference of objective function values in the harmony memory to adjust PAR and bw, so as to improve the search efficiency of multidimension problems. Then, the proposed AHS algorithm is tested with five criteria, and is applied to relative attribute reduction. The simulation result shows the effectiveness and feasibility of the algorithm.

• 出版日期2009
• 单位东北大学