A Natural Way to Stability: A New Evolutionary Algorithm Based on Ocean Water Currents

A novel optimization technique, Ocean Water Current Optimization (OWCO), is introduced, inspired by the dynamics of ocean water currents. It leverages the interplay of various natural forces, such as wind speed, density, and the Coriolis force, to determine ocean current speed. By emulating these forces, OWCO aims to reach stability, characterized by a cumulative resultant force of zero. The proposed evolutionary algorithm efficiently simulates these natural dynamics, resulting in the rapid convergence of solutions. Notably, OWCO surpasses the performance of other evolutionary optimization algorithms across all dimensions on the CEC 2018 benchmark. It excels in avoiding local minima, showcasing dynamic attributes, and employing a weighted mutation strategy. Through rigorous testing on dimensions D = 10, 30, 50, and 100 within the CEC 2018 benchmark, OWCO demonstrates superior performance and favorable time complexity, denoted as O (dnm). These findings underscore the effectiveness of this innovative optimization approach.