CAJ | 학술논문

差分演化算法具有结构简单容易实现，收敛速度快和鲁棒性强等优点，但是存在早熟和进化停滞的现象。提出的二阶段循环优化差分演化算法框架能够很好地保持算法局部开采能力和全局勘探能力的平衡。在差分演化的变异操作中，以马氏距离矩阵为依据分别在目标向量的近邻或者远邻中选择父辈个体参与变异，这样分别形成偏重局部开采或者偏重全局勘探的搜索阶段，此二阶段循环迭代，使得局部开采和全局勘探能力得到震荡平衡。在CEC2005标准函数集上的测试结果显示了提出算法框架的有效性。
차분연화산법구유결구간단용역실현，수렴속도쾌화로봉성강등우점，단시존재조숙화진화정체적현상。제출적이계단순배우화차분연화산법광가능구흔호지보지산법국부개채능력화전국감탐능력적평형。재차분연화적변이조작중，이마씨거리구진위의거분별재목표향량적근린혹자원린중선택부배개체삼여변이，저양분별형성편중국부개채혹자편중전국감탐적수색계단，차이계단순배질대，사득국부개채화전국감탐능력득도진탕평형。재CEC2005표준함수집상적측시결과현시료제출산법광가적유효성。
The advantages of differential evolution(DE) are its simple structure ,easiness of implement ,fast convergence and robustness .However ,DE often suffers from premature convergence and stagnation problems .A framework of the recurring two-stage DE is proposed to balance global exploration and local exploitation .The proposed framework is based on repeated and alternated ex-ecution of two different stages ,namely ,the local exploitation and global exploration stages .The parent individuals for the mutation operation at each stage are selected from neighbors or strangers of the target vector ,respectively ,based on the Mahalanobis distance matrix .The simulation results on the CEC2005 real-parameter optimization benchmark functions show that the proposed framework can make DE more efficient .