Adaptive Genetic Algorithm Based on Cloud Control
Jin Yi-fu · Jisuanji gongcheng · 2011
Adjusting genetic parameter adaptively is a complex and uncertain process.Based on the cloud model,which can represents the uncertain knowledge,an improved adaptive Genetic Algorithm(GA) is proposed,and its basic principle and implementation strategy are discussed,the proposed method takes nature language as the cut-in point,and depicts uncertain prior rules by cloud model,adjusts the parameters of GA through cloud controll.Experiments of function optimization show that the proposed algorithm simulates the uncertain procedure of parameter adjusting,and its results are feasible and effective.