Task Allocation Based on Marginal Contribution Analysis with Decoy Targets

In modern warfare, efficient task allocation for multi-UAV systems is crucial, especially in complex scenarios with decoy targets. An important challenge lies in achieving effective battlefield task allocation in the presence of decoy targets, while minimizing threats in real time. Traditional methods for evaluating targets often rely on static data or subjective judgments, leading to poor resource allocation. This paper proposes a novel framework based on marginal contribution analysis to measure the strategic importance of each target. By refining the task benefit matrix, the framework ensures real-time control of battlefield threats while reducing the influence of decoy targets. Numerical experiments under three different resource availability scenarios confirm the effectiveness of the proposed method compared with conventional approaches.