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We investigate the use of particle swarm optimization (PSO) algorithm fordetection of gravitational-wave signals from compact binary coalescences. Weshow that the PSO is fast and effective in searching for gravitational wavesignals. The PSO-based aligned-spin coincident multi-detector search recoversappreciably more gravitational-wave signals, for a signal-to-noise ratio (SNR)of 10, the PSO based aligned-spin search recovers approximately 26 $\%$ moreevents as compared to the template bank searches. The PSO-based aligned-spincoincident search uses 48k matched-filtering operations, and provides a betterparameter estimation accuracy at the detection stage, as compared to the PyCBCtemplate-bank search in LIGO's second observation run (O2) with 400k templatepoints. We demonstrate an effective PSO-based precessing coincident search with320k match-filtering operations per detector. We present results of an all-skyaligned-spin coherent search with 576k match-filtering operations per detector,for some examples of two-, three-, and four-detector networks constituting ofthe LIGO detectors in Hanford and Livingston, Virgo and KAGRA. Techniques forbackground estimation that are applicable to real data for PSO-based coincidentand coherent searches are also presented.

Toward low-latency coincident precessing and coherent aligned-spin  gravitational-wave searches of compact binary coalescences with particle  swarm optimization