Researchers are exploring optimal search strategies on complex multi-linked networks, with some studies focusing on navigation methods such as anomalous random walks and Lévy walks. Other approaches involve the use of deep-learning techniques and hybrid algorithms to optimize network performance, including applications in logistics and electric vehicle charging stations. The various studies suggest a range of potential strategies for improving navigation and optimization in complex networks.