TY - GEN
T1 - Task Allocation Based on Marginal Contribution Analysis with Decoy Targets
AU - Chen, Jianbin
AU - Yuan, Mengfan
AU - Man, Haojie
AU - Yang, Puhong
AU - Zhao, Jiajia
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2027.
PY - 2027
Y1 - 2027
N2 - 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.
AB - 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.
KW - Decoy targets
KW - Dynamic battlefield task allocation
KW - Marginal contribution analysis
KW - Shapley value
UR - https://www.scopus.com/pages/publications/105050790109
U2 - 10.1007/978-981-92-4392-1_25
DO - 10.1007/978-981-92-4392-1_25
M3 - Conference contribution
AN - SCOPUS:105050790109
SN - 9789819243914
T3 - Lecture Notes in Electrical Engineering
SP - 305
EP - 319
BT - Proceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies
A2 - Li, Xiaoduo
A2 - Li, Yichen
A2 - Feng, Zhi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025
Y2 - 31 October 2025 through 3 November 2025
ER -