  We implement an eccentric search for compact binary mergers based on particle
swarm optimization. Orbital eccentricity is an invaluable input for
understanding the formation scenarios of the binary mergers and can play a
pivotal role in finding their electromagnetic counterparts. Current modelled
searches rely on pre-computed template banks that are computationally expensive
and resistant towards expanding the search parameter space dimensionality. On
the other hand, particle swarm optimization offers a straightforward algorithm
that dynamically selects template points while exploring an arbitrary
dimensional parameter space. Through extensive evaluation using simulated
signals from spin-aligned eccentric binary mergers, we discovered that the
search exhibits a remarkable autonomy in capturing the effects of both
eccentricity and spin. We describe our search pipeline and revisit some of the
merger candidates from the gravitational wave transient catalogs.
