Squeeze castings deliver a quality product due to a large number of process parameters involved. This paper focuses on optimize the squeeze casting process parameters by using Taguchi method and JAYA algorithm. Taguchi technique was used to discover the correlation between hardness and tensile strength. Four levels and four factors such as squeeze pressure (30, 60, 100, 120 MPa), melt temperature (700, 750, 800, 850°C), die temperature (100,150,200,250°C) and pressure holding time (5, 10, 15, 20 sec) were selected for the L16 orthogonal array. JAYA Algorithm used to predict the process parameter in this research. Squeeze casting selected process parameters were considered as input variables. Hardness and tensile strength are considered as response functions. Multiple regressions were used to predict quadratic polynomial models and the obtained models were combined to a single objective. © 2020 SERSC.