ES can quickly find the better global solution and Gray-code-based GA is of more powerful ability to locally search extremer. A improved GA combined ES and Gray-code-based GA, which is aimed at the function of Rosenbrock, is designed. A series of data from experiments show that it is a superior nonlinear method and could not only quickly search the global solution but also to locate the optimal extremer for greater probability.
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邓锐 全惠云. 基于格雷码和进化策略的遗传算法研究[J]. 科学技术与工程, 2007, (19): 5074-5076. DENG Rui, QUAN Hui-yun. On Genetic Algorithrn Based on ES and Gray Code[J]. Science Technology and Engineering,2007,(19):5074-5076.