  In this note, we present a new adaptive algorithm for generalized group
testing, which is asymptotically optimal if $d=o(\log_2|E|)$, $E$ is a set of
potentially contaminated sets, $d$ is a maximal size of elements of $E$. Also,
we design a 3-stage algorithm, which is asymptotically optimal for $d=2$.
