aspg-41-3491-1792223551 20261017075231 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Metaheuristic Optimization Review MOR 3066-280X 2025 3 2 Khaled Sh. Gaber Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA This paper reviews the design and integration of hybrid energy systems (HES) as a solution to solve the challenges of renewable energy integration. It emphasizes the role of optimization algorithms in improving system performance, reducing costs and enhancing environmental sustainability by effectively managing energy supply and demand. Recent advances in energy estimating, machine learning, and accurate resource forecasting demonstrate significant system flexibility and efficiency increases. Furthermore, it identifies existing challenges, such as scalability, high initial costs and integration complexities, while proposing future research and innovation pathways. The study argues that HES can revolutionize energy systems and contribute to global sustainability goals by addressing key gaps. 2025 11 15 3491 https://creativecommons.org/licenses/by/4.0/ 10.54216/MOR.030203 https://americaspg.com/journal/41/article/3491 https://americaspg.com/storage/articles/manuscripts/01KXBSS8YGP0A2KNWSFRAMSYZ0.pdf