Hydrocarbon gas flooding has become an important technique for enhancing oil recovery, and the setting of gas injection-production parameters is a crucial factor affecting the development effect. Currently, traditional optimization methods for hydrocarbon gas flooding injection-production parameters are either focused on injection well parameters or employ the control variable method for sequential optimization of gas injection parameters. However, these methods do not consider the cooperative effects of injection-production parameters during the gas flooding development process, failing to maximize economic benefits. This paper aims to maximize the net present value (NPV) as the objective function for continuous hydrocarbon gas flooding mode, with the optimization variables being the timing of gas injection, injection rate, total gas injection volume, and liquid production rate or bottom-hole flowing pressure of production wells. A mathematical model for the cooperative optimization of hydrocarbon gas flooding injection-production parameters is constructed, and the intelligent optimization algorithm Triangular Topology Aggregate Optimizer (TTAO) is employed to solve the mathematical model, establishing a cooperative optimization method for hydrocarbon gas flooding injection-production parameters. This method is applied to the deep clastic rock DH reservoir for hydrocarbon gas flooding in the Tarim Basin, Xinjiang. With the total gas injection volume remaining constant, the optimized results are compared with the actual development plan and the orthogonal design plan. The cooperative optimization plan increases the net present value by 430 million yuan compared to the actual development plan and by 210 million yuan compared to the orthogonal design plan. The cooperative optimization plan produces approximately 280,000 tons more oil than the actual development plan and 230,000 tons more than the orthogonal design plan, thereby validating the reliability and superiority of the cooperative optimization method. This study indicates that the proposed intelligent cooperative optimization method for hydrocarbon gas flooding injection-production parameters can precisely match the plugging parameters with the remaining oil distribution and reservoir parameters, expanding the sweep area of injected gas, mitigating gas breakthrough, and significantly improving the oil displacement effect of hydrocarbon gas flooding, providing effective technical support for adjusting field development plans.