%A LIANG Xingjian, ZHAN Zhihui %T Improved genetic algorithm based on the dual-mode mutation strategy %0 Journal Article %D 2014 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.2.2014.306 %P 1-7 %V 44 %N 6 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_956.shtml} %8 2014-12-20 %X Aiming at the defects in the standard genetic algorithm such as slow optimization speed and local optimum, an improved genetic algorithm based on the Dual-Mode Mutation strategy is put forward. On the basis of the standard mutation, the idea of individual linear difference mutation is introduced to form the Dual-Mode Mutation balanced by the controlling parameters. The results of simulation experiments on 10 benchmarking functions shows that this algorithm can greatly improve the optimization speed and global convergence and has application value.