Active Evolutionary Algorithm Based on Cloud Model
Chen Wei-bin · Journal of Beijing Jiaotong University · 2009
A learn operator is proposed based on the analysis of the status in quo such as ignoring initiative of individual belonging to the current population and combined with the last word of evolutionism and genetics.The extension of the traditional evolutionary algorithms is made by adding this learn operator.The definition of active evolutionary algorithm is put forward.After imported the normal cloud in the procedure of evolutionary,the learn operator with cloud is defined and the active evolutionary algorithm based on cloud model is advanced.With some typical test functions,the results prove the high quality of the algorithm on precision,stability and convergence rate.It also indicated that this improved evolutionary can greatly overcome the shortcoming of low efficiency in traditional evolutionary algorithms.