提出一种基于群体适应度方差自适应二次变异的差分进化算法。
A new adaptive second mutation differential evolution algorithm (ASMDE) based on the variance of the population's fitness is presented.
为了提高差分进化算法(DEA)的收敛速度和寻优精度，提出了一种改进的差分进化算法。
To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.
针对差分进化(DE)算法收敛早熟与计算效率不理想的问题，提出一种改进的差分进化算法。
An improved Differential Evolution (DE) algorithm was proposed to solve the problem of premature convergence and improve the computational efficiency of DE.
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