Algorithm 1 Compound Event-Driven Deployment Algorithm Based on the Collaborative Neural Network Strategy.

1: Initialization: An initial confidence coefficient $c^1$ is selected, and the number of initial iterations $s=1$ is set;

2: For the confidence coefficient $c^s$, using Neural Network (15), the optimal solution ${\alpha }^s$ of the single-objective Sub-problem (7) and the Lagrange multiplier vector ${\beta }^s$ are obtained. If ${\alpha }^s$ is the Pareto optimal solution for the multi-constrained compound event-driven deployment problem, the algorithm terminates and outputs; otherwise, the process skips to step 3;

3: After obtaining ${\alpha }^s$ and ${\beta }^s$ in step 2, Neural Network (16) is used to solve Formula (13) to obtain a new optimal confidence coefficient;

4: The number of iterations is set and the process skips to step 2.