A new study uses computational intelligence to optimize entropy and heat transfer in tri-hybrid nanofluid flows over a paraboloid needle. Researchers analyzed how ternary nanoparticle mixtures improve thermal conductivity compared to traditional liquids. This approach reduces energy loss in cooling systems. The findings provide specific parameter tuning for engineers designing high-efficiency thermal management hardware.