This paper represents a combined optimization of both Water Cycle (WCA) Algorithm and Artificial Bee Colony (ABC) Algorithm to improve optimization for solving complex problem. The fundamental concepts and ideas which proposed the combination of both algorithm is inspired from nature and based on the observation of water cycle process and how rivers and streams flow to the sea in the real world. This algorithm testing in the Matlab 2024b apply functions (F1 to F23) and the obtained results are also compared with WCA algorithms. According to the results, the algorithm that found the best solution in 15293.65238 (F3) of the test functions is WCA. The performance of the proposed hybrid algorithm is evaluated on a set of benchmark functions and compared with the standard WCA and ABC algorithms.