A Knowledge Reduction Method Based on Niche Genetic Algorithm
Genlin Ji · Jisuanji gongcheng · 2004
This paper proposes a new algorithm for knowledge reduction based on the niche genetic algorithm. Several different reduction subsets of attribute can be got with the algorithm. The experimental results show that it is effective. The algorithm can solve some problems that heuristic algorithm can't do. It can find the different reductions of attribute in the knowledge system and can provide more information for feature extraction, decision support and data mining.