RETRACTED: Adaptive Evolutionary Algorithm Based on Memory Effect (Retracted Article)

In order to improve the algorithm of adaptive ability, introducing memory ability in evolutionary algorithm framework, a new adaptive evolutionary algorithm based on memory effect (EABME) 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 you 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 EABME has fast convergence speed and optimum performance of global convergence. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Organizers of 2011 International Conference on Energy and Environmental Science.