In response to the increasing safety concerns posed by low, slow, and small unmanned aerial vehicles (UAVs), the use of flexible nets for interception emerges as a promising solution due to its high tolerance, minimal requirements, and cost-effectiveness. To enhance the effectiveness of the flexible net capture system for these types of UAVs, an optimization of the system’s parameters is conducted. A dynamic model of the flexible net capture system is developed, and its deployment process is simulated and analyzed through a combination of ABAQUS 2022/Explicit and MATLAB R2020b software. The coverage rate and hang time are proposed as the key performance indicators for quantitatively assessing the interception capabilities of the rope net. A mathematical model is formulated to optimize the capture system parameters, considering both spatial and temporal tolerances. The Multi-objective Wolf Pack Algorithm, which incorporates an Elite Leadership Strategy and a crowding distance-based population update mechanism, is utilized to optimize the design variables. This approach leads to the derivation of the optimized design parameters for the flexible net. Ultimately, the optimal parameter configuration for the flexible net capture system is achieved through the application of the Multi-objective Wolf Pack Algorithm to the design variables. This optimization ensures the system’s peak performance in intercepting low, slow, and small UAVs.

Aiming at the ability demand of innovative talents in the intelligent war, the problems existing in the training mode in curriculum teaching were sorted out in relation to curriculum teaching, resource platform, innovation mechanism, and analyzes the reasons for the problems.The practical path of talent cultivation from the three aspects of demand generation was puts forward, link construction and guarantee mechanism, and explores a series of feasible methods and practical practices in combination with equipment intelligent talent cultivation and discipline construction, which provides specific ideas for carrying out military equipment intelligent talent cultivation under the background of new engineering, and also provides some reference for promoting military innovative talent cultivation under the background of new engineering.