  We investigate the use of particle swarm optimization (PSO) algorithm for
detection of gravitational-wave signals from compact binary coalescences. We
show that the PSO is fast and effective in searching for gravitational wave
signals. The PSO-based aligned-spin coincident multi-detector search recovers
appreciably more gravitational-wave signals, for a signal-to-noise ratio (SNR)
of 10, the PSO based aligned-spin search recovers approximately 26 $\%$ more
events as compared to the template bank searches. The PSO-based aligned-spin
coincident search uses 48k matched-filtering operations, and provides a better
parameter estimation accuracy at the detection stage, as compared to the PyCBC
template-bank search in LIGO's second observation run (O2) with 400k template
points. We demonstrate an effective PSO-based precessing coincident search with
320k match-filtering operations per detector. We present results of an all-sky
aligned-spin coherent search with 576k match-filtering operations per detector,
for some examples of two-, three-, and four-detector networks constituting of
the LIGO detectors in Hanford and Livingston, Virgo and KAGRA. Techniques for
background estimation that are applicable to real data for PSO-based coincident
and coherent searches are also presented.
