  While a fully-coherent all-sky search is known to be optimal for detecting
signals from compact binary coalescences (CBCs), its high computational cost
has limited current searches to less sensitive coincidence-based schemes. For a
network of first generation GW detectors, it has been demonstrated that
Particle Swarm Optimization (PSO) can reduce the computational cost of this
search, in terms of the number of likelihood evaluations, by a factor of
$\approx 10$ compared to a grid-based optimizer.
  Here, we extend the PSO-based search to a network of second generation
detectors and present further substantial improvements in its performance by
adopting the local-best variant of PSO and an effective strategy for tuning its
configuration parameters. It is shown that a PSO-based search is viable over
the entire binary mass range relevant to second generation detectors at
realistic signal strengths.
