Meanwhile, in order to discard some infeasible individuals, a new fitness function is given based on objective function and the degree of constraint violations.
同时为了抛弃部分不可行点，设计了一个新的适应度函数，其仅仅依赖于个体的不可行度和目标函数值。
In order to match the case in this situation, a fuzzy similarity function between case-target and Case-base was constructed based on the conception of membership degree and closeness degree.
为了在该情况下进行实例匹配，基于隶属度和贴近度的概念，构造了靶实例与基实例的模糊相似度函数，从而以统一形式同时处理上述两类数据。
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