Optimization algorithms play a key role in solving complex numerical optimization problems. In this paper, a new hybrid mode that integrates he Ant Lion Optimizer (ALO) and the Genetic Algorithm (GA) for optimizing and increase performance. The new hybrid model integrates the exploration ability of ALO and the exploitation ability of GAwith the expectation of better convergence and optimal solutions. This hybrid algorithm being tested on twenty-three benchmarking functions and the results indicate that the hybrid model is better than the individual ALO algorithm and generating smaller errors and scores in the area of optimization. The study indicates that the proposed hybrid model offers a feasible solution to solving complex numerical optimization problem.