There is a lack of support bases in the far-sea, and the fleet support scenarios are quite different from those of land-based support. This makes the traditional optimization methods suitable for land-based support difficult to meet the comprehensive requirements of the fleet in far-sea operations in terms of combat readiness, cost, resource constraints, and spare parts supply. To address this issue, taking the life-limited components of the fleet as the object, a joint optimization model suitable for the far-sea background is established. The model takes the support efficiency-cost ratio as the objective function, and takes the fleet availability rate, total operational flight days, spare parts storage space, number of failures and spare part shortages per 100,000 flight hours as constraint conditions. It comprehensively considers the multiple mission requirements of the fleet in the absence of support bases. Aiming at the difficulty in solving the model, a Monte Carlo-PSO algorithm is designed to solve the problem. Case analysis shows that, compared with the current support scheme, the support efficiency-cost ratio of the model in the paper can be increased by 6.8 times, and the number of failure and spare part shortages per 100,000 flight hours can be reduced by 98.6% and 96.1% respectively; compared with the traditional optimization method, the support efficiency-cost ratio of the model is increased by 27.9%. The research results can provide a support scheme that takes into account mission requirements, safety, economy, and resource constraints for fleets performing far-sea missions.