Atomized Feature in Cloud Based Evolutionary Algorithm
Yu Liu · Dianzi xuebao · 2009
The drops of the cloud spread around while the hyper entropy(He) is increasing.But many drops still stand in the central area of the cloud.Atomized feature of the cloud model can be used to adjust the strategies of the evolution.In cloud based evolutionary algorithm,changing He to affect the selection pressure and lead to different evolution result.By the experiments of nine typical test functions' optimization,the precision,stability and convergence rate of the algorithm are well proved.