The construction and optimization of ecological network is of great significance in solving current ecological problems, ensuring regional ecological security and achieving sustainable development. However, the current research on ecological network optimization rarely has multiple objectives and ignores the optimization perspective that considers the synergy between multiple optimization objectives, and lacks a systematic optimization framework. Therefore, this study proposed a dual-objective synergistic optimization model, i.e., the model of "ecological blind area reduction and network function structure coordination", in which the former was the basis of the latter optimization, and the latter was able to consolidate the optimization results of the former, and took Wuhan as an example to carry out an empirical study. Firstly, the Minimum Cumulative Resistance model was used to construct the initial ecological network of Wuhan City. Secondly, the initial ecological network was optimized under the guidance of ecological blind area. Then, based on the results of function and structure coordination analysis, targeted optimization measures were proposed for the nodes with functional and structural mismatches. Finally, the robustness and ecological network structure index were used to evaluate the ecological network before and after optimization. The results showed that: (1) the initial ecological network of Wuhan contained 17 ecological sources and 47 ecological corridors, and the spatial distribution was uneven, with dense in the southwest, sparse in the middle, and obvious vacancies in the southeast. (2) Under the guidance of ecological blind areas, the percentage of ecological blind areas reduced from 31.77% to 15.37% after the optimization of the adjusted ecological sources, the new ecological sources, the supplementary ecological corridors and the non-source patches. (3) Based on the results of coordination analysis, the functional and structural coordination of the ecological network was realized by adding 17 new corridors and implementing three-level differentiated construction of ecological sources. (4) The optimized ecological network structure indices α, β, and γ improved by 69.16%, 56.16%, and 47.12%, respectively, and showed stronger robustness in the face of random and deliberate attacks. The study concluded that the dual-objective synergistic optimization model could not only achieve the respective optimization objectives, but also had the potential to produce synergistic effect. At the same time, the stability, complexity, closure and connectivity of the optimized ecological network were enhanced to varying degrees. The model will provide a new perspective and framework for the study of ecological network optimization, and the case results will provide theoretical and methodological guidance for Wuhan to reduce ecological blind areas and build an ecological network with coordinated function and structure.