This study introduces a hybridization algorithm called Sand Cat Swarm Optimization (SCSO), which mimics the survival behaviors of sand cats in nature. The two types of phases are search and attack. The SCSO was tested in MATLAB 2023a using functions F1 to F23, and the results were compared with those of other effective hybridization algorithms. SCSO achieved the best solution of -3.39 for function F19 among the test functions. The improved results indicate that SCSO excels in convergence rate and effectively locates most, if not all, local and global optima, outperforming the other methods in comparison