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。
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。
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