Finding global minima with a new dynamical evolutionary algorithm
Zou Xiu-fen, Kang Li-shan, Yuanxiang Li, Chen Yu-ping · Wuhan University Journal of Natural Sciences · 2002
A new dynamical evolutionary algorithm (DEA) based on the theory of statistical mechanics is presented. This algorithm is very different from the traditional evolutionary algorithm and the two novel features are the unique of selecting strategy and the determination of individuals that are selected to crossover and mutate. We use DEA to solve a lot of global optimization problems that are nonlinear, multimodal and multidimensional and obtain satisfactory results.