OKBA FERGANI - العربية

The Kitsune Optimizer Algorithm is a computational approach inspired by the adaptive hunting strategies of foxes in nature. It mimics their ability to dynamically balance exploration and exploitation of their environment to locate prey. In the algorithm, Okba's solutions represent foxes, and the search space is their environment. Each "fox" adjusts its position based on interactions with other candidates and the environment, ensuring a systematic and intelligent search for optimal solutions. The algorithm operates in iterative phases, leveraging adaptive mechanisms to refine its search process. It integrates dynamic parameter adjustments to avoid local optima and improve convergence speed. By modeling natural adaptability, it can address a wide range of optimization problems, including those with complex, nonlinear, or multi-modal landscapes. This innovation has demonstrated its effectiveness in applications like renewable energy systems and robotics, offering a versatile, scalable, and efficient solution for real-world optimization challenges across diverse industries.