改进差分进化算法在可靠性冗余分配问题中的应用

提出一种改进差分进化算法(IDE),以解决系统可靠性冗余分配问题.在罚函数法的基础上,对约束处理方法进行改进. 新约束处理方法在搜索过程中不需要在每一步都计算惩罚函数值,加快了寻优速度.具有良好的通用性,可以引入到其他智能优化算法中.将改进的算法用于求解4类典型的系统可靠性冗余分配问题,实验结果表明了所提出的改进算法具有很好的寻优精度和收敛速度.

Improved differential evolution algorithm for solving reliability redundancy allocation problem

A new improved differential evolution(IDE) algorithm is proposed for solving the system reliability redundancy allocation problem. The constraints handling method is improved based on the punishing function method. The new constraints handling method doesn’t need to calculate the every punishing function value in the search process, which greatly speeds up the searching for the optimized solutions. The proposed method has good generality, which can be introduced completely to other intelligent optimization algorithms. Using the improved algorithm to solve four typical system reliability redundancy allocation problems, the experimental results show that the algorithm has good optimization precision and convergence speed.