“…A lot of analytical and numerical studies are conducted for peristaltic flows of Newtonian and non-Newtonain fluids such as peristaltic pumping with Newtonian fluids is reported in [1], peristaltic pumping model for the circular cylindrical tubes [2], temperature effects for the electroosmosis modulated peristaltic transport model [3], peristaltic motion dynamics of the suspension in the small intestine model [4], peristaltic transport model with multilayered power-law fluidic system [5], peristaltic motion of Rabinowitsch liquid [6], peristaltic transport of two-layered blood model [7], numerical study of peristaltic transport of the thixotropic fluids [8], peristaltic transport of a Rabinowitsch fluid [9], peristaltic transport of Casson fluid [10], peristaltic motion of the Eyring-Powell fluid [11], peristaltic transport of a micropolar nanofluidic system [12], radiative peristaltic motion of Eyring-Powell fluid mixed with nanoparticles [13], asymmetric peristaltic propulsion model [14], peristaltic motion of the viscoelastic physiological fluids [15], peristaltic transport of Jeffrey fluid in the presence of high magnetic field [16], peristaltic transport of Bingham nanofluid [17], peristaltic transport of hybrid nanomaterial based fluid in an asymmetric channel [18], peristaltic flow of Herschel-Bulkley fluid [19] and peristaltic motion of Sutterby nanofluids [20]. Recently, many renewed studies for peristaltic flows of Newtonian and non-Newtonian fluids can be seen in [21][22][23][24][25][26] and references mentioned therein. All these reported studies are implemented numerical or analytically with deterministic methodologies while artificial intelligence (AI) algorithms based stochastic paradigm looks promising and capable alternative to be investigated/explored/exploited in the domain of peristaltic flows of Newtonian and non-Newtonian fluidic models.…”