@article {IOPORT.06095661,
    author       = {Qu, Fu-Heng and Hu, Ya-Ting and Yang, Yong and Sun, Shuang-Zi and Yuan, Li-Hong},
    title        = {Differential evolution algorithm with different strategies and control parameters.},
    year         = {2011},
    journal      = {Journal of Computer Applications},
    volume       = {31},
    number       = {11},
    issn         = {1001-9081},
    pages        = {3097-3100},
    publisher    = {Science Press, Beijing},
    doi          = {10.3724/SP.J.1087.2011.03097},
    abstract     = {Summary: An improved Differential Evolution (DE) algorithm was proposed to solve the problem of premature convergence and improve the computational efficiency of DE. Firstly, different strategies with different parameter values were adopted to enrich the population diversity. Secondly, a new evaluation index was established to determine the suitable combination to match different phases of the search process. Finally, the evolution process was divided into many subprocesses to eliminate the negative effect of the previously selected combination. The contrast experimental results on ten classical Benchmark functions show that the proposed algorithm has a relatively better performance.},
    identifier   = {06095661},
}