Constraint terminology If we want to pick a solution $S$ from a collection of items $C$ to maximize some function $f(S)$. 

The constraint that we pick at most $k$ item, i.e., $|S| \leq k$, is called  the cardinality constraint.

If the items in $C$ belongs to different groups and we are allowed to picked at most $k_i$ items from group $i$, what is the right terminology for this constraint? I think some paper used to call it the group cardinality constraint but I'm not sure if it's still the popular terminology.
To be clear that I understand the context, I'm going to first reproduce you situation worded differently.


  Consider a sequence of sets, $C_i$, and a target function, $f$. Let $\cup C_i=C$. We wish to find a subset $S\subseteq C$ that maximizes $f(S)$ under the constraint that $\forall i, |S\cap C_i|&lt;k_i$ and $|S|&lt;k$.


I would agree with the commenter that this should be referred to as a cardinality constraint or a collection of cardinality constraints. I might also call it a "structural constraint," but I would specifically avoid calling it a "group carnality constraint" as "group" already has a meaning. In general, I would advocate for avoiding referring to a collection as a "group," "set," or "class" unless your object actually satisfies the required axioms. "Collection" is a good, general word that doesn't have a mathematical meaning.

If you don't want to use the term "carnality constraint" you can always introduce a term to refer to this specific restriction in your context. This can be helpful because it allows you to highlight the context-sensitive meaning of the constraint in a way that a more general term doesn't. For example, I have a paper with a constraint of this form that I refer to as an "isolation condition" because, when $S$ satisfies it, $S$ is isolated from the structure of the rest of the graph in a relevant way. This gives me a simple and intuitive way to refer to the condition, while simultaneously telling the reader what is important about the condition every time it comes up.