K-anonymization Based on Genetic Algorithm of Variable Length Encoding
Gong Zhao-xuan · Jisuanji gongcheng · 2011
Aiming at the problems that raditional genetic encoding has low efficiency and large information loss,this paper proposes a michigan-based variable-length coding Genetic Algorithm(GA),which adopts various heuristic strategies to select genes for crossover operation.It is applied to the problem of K-anonymization.Experimental results show this method can further reduce the information loss and it is a new way to solve the problem of K-anonymization.