This algorithm improves the method of coding, size of population and operators; USES expert knowledge to aid searching feasible solution; and presents self adaptive adjusting of penalty factor.
该算法对传统遗传算法的编码方式、群体规模以及遗传算子等方面进行了改进,利用专家知识辅助搜寻可行解,并提出罚因子的自适应调整。
During searching process the self-adaptive penalty function can effectively utilize the available information in infeasible solution and appropriately punish the infeasible solution.
在寻优过程中,自适应罚函数法能有效利用不可行解的有用信息,对不可行解进行适度惩罚。最后结合33节点配电网系统进行了计算仿真。
应用推荐