基于耗散结构理论的差分进化算法*

差分进化算法是一种新的进化计算技术，为解决其早熟问题，提出了一种基于耗散结构理论的改进差分进化算法。在变异成功的个体数和交叉算子之间建立联系，使变异成功的个体影响交叉算子，提高全局收敛能力。仿真实验表明，通过对三个标准测试函数的测试，并与标准遗传算法和差分进化算法相比，所提出的改进差分进化算法是一种收敛速度快、求解精度高、鲁棒性较强的全局优化算法。

Differential evolution based on dissipative structure theory

Differential evolution algorithm is a new evolutionary computation technology.In order to avoid the premature convergence problem,this paper proposed a modified differential evolution algorithm with the dissipative structure theory.Established the relationship between the number of the successfully mutated individuals and the cross operator.So the number of the successfully mutated individuals could affect the cross operator,improved the global search.In test,used three benchmark functions,and compared the ...