This study reviews the latest advancements in optimization approach for hybrid solar photovoltaic (PV) and wind energy systems, with a particular focus on artificial intelligence (AI)-based and hybrid methods. Addressing the growing need for renewable energy, the study critically examines both traditional and modern approaches, evaluating their effectiveness in enhancing system efficiency and reliability. Furthermore, this study categorizes the optimization techniques with their sizing methodologies, and discusses their economic, technical, and environmental impacts. Finally, the study highlights the superior performance of hybrid algorithms in managing the complexities of integrating renewable energy systems and provides insights into future research directions in this rapidly evolving field.