Bi-Level Fuzzy Expectation-Based Dynamic Anti-Missile Weapon Target Allocation in Rolling Horizons

The weapon target allocation (WTA) problem is a crucial issue in anti-missile command decisions. However, the current models ignore dynamic complexity, cooperation, and uncertainty actual combat process, which results misclassification omission of targets. Therefore, we propose bi-level model based on rolling horizon optimization marginal benefit reprogramming to achieve rapid impact static uncertainties battlefield environment. Further, also an improved recursive BBO algorithm hybrid migration variation perform fast efficient objective function. A simulation analysis demonstrate that suitable for larger-scale, complex, operations uncertain environments, while achieves better solution efficiency time compared with same type heuristic algorithm, meet requirements accuracy timeliness. In addition, obtain parameters further optimize its performance.