  Cooperation between micro-organisms give rise to novel phenomena like
clustering, swarming in suspension. We study the collective behavior of the
artificial swimmer called Taylor line at low Reynolds number using
multi-particle collision dynamics method. In this paper we have modeled
bi-motility mixtures of multiple swimmers in 2 dimensions, which differ from
each other by the velocity with which they swim. We observe that the swimmers
can segregate into slower and faster ones depending on the relative difference
in velocity of the 2 type of swimmers. We also observe that contribution of
slower swimmers towards clustering, on an average, is much larger compared to
faster ones, although we employ a homogeneous mixture. When the difference in
velocity is large between the swimmers, the faster ones move away from the
slower ones towards the boundary. On the other hand, when the relative
difference in velocity is very small, the slower and faster swimmer mix
together to form big clusters. At later time even for small difference in
velocity the swimmers segregate into fast and slow swimmer clusters.
