Enhancing ecosystem services and optimizing spatial structure are two main objectives of country park planning. However, conventional country park planning strategies focus on recreation services, ignoring the optimization of land-use structure and the improvement of complex ecosystem services. And it is urgent to introduce quantitative decision-aid strategies to assist country park planning. This paper aims to explore the country park land-use optimization strategies. Using the Shanghai Pujiang Country Park as the research object, it searches for country park land-use planning solutions to maximize ecosystem service value and spatial aggregation. Besides that, it also analyzes the optimal spatial solutions according to different preference strategies to provide specific spatial references and decision-making for the country parkland use adjustment. Based on constructing a multi-objective optimization model using the MOEA/D algorithm for land-use scheme generation and preference, the algorithm optimization of land-use in Pujiang Country Park was carried out in four steps: constructing decision variables, setting objective function, generalizing constraints, and algorithm optimization. The research shows that the adopted land-use optimization strategy can effectively assist the generation and benefit improvement of the planning scheme. Converting the scattered unused land in the study area into a water area and connecting it with the surrounding water surface is conducive to achieving the goal of spatial aggregation while increasing the forest land and water area. The construction of a landscape pattern with intertwined woodland and water networks is conducive to significantly improving the index of ecosystem service value.