%0 Journal Article
%T An Adaptive Memory Evolution Algorithm
%A Dan Song
%A Gang Yan
%A Sha Fu
%A Yingfang Zhu
%J Information Technology Journal
%D 2013
%I Asian Network for Scientific Information
%X Memory mechanism is applied to the optimization algorithm by more study. In order to improve the algorithm of adaptive ability, introducing memory ability in evolutionary algorithm framework, an Adaptive Memory Evolution Algorithm (AMEA) is proposed. The algorithm set matrix to record the exploring experiences and exploring results of the individual parent. The algorithm uses these records to guide the generation of offspring. And thus AMEA can adaptively select the dimension to mutate and exploring radius. In addition, to improve the algorithm accuracy, the algorithm raises the best opportunities by using super-variation operator. In the simulation test, compared with similar algorithms, the results show that AMEA has fast convergence speed and optimum performance of global convergence.
%K information feedback
%K optimization problems
%K super-mutation
%K memory effect
%K precision
%K cross
%K Evolutionary algorithm
%U http://docsdrive.com/pdfs/ansinet/itj/2013/1035-1039.pdf