A multi/single-objective transform-based approach for combat task re-assignment

多/单目标优化转换下的作战任务重分配

¹ School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
² No.1 Military Representative Office of Equipment Department of PLA Airforce in Shenyang, Shenyang 110850, China

Received: 25 June 2023

Abstract

Cooperative combat task assignment is recently one of the hot spots in military research area, and it is generally divided by previous researchers into two separate phases, namely task pre-assignment and dynamic assignment. However, in this manner the correlation between the aforementioned two phases is to some extent neglected. This article investigates into this issue from the perspective of multi-and single-optimization, and proposes a transform method for multi/single-assignment optimization. Decision-maker's subjective preferences were obtained through their choices in the pre-assignment phase. Based on the acquired subjective preferences, the multi-objective optimization is transformed into single-objective optimization, and then the task re-assignment is completed using contract net protocol. Simulation results verify the proposed transform method as well as its applicability in dynamic assignment problems. Finally, the correlation between traditional multi-and single-objective optimization is demonstrated and a potential future research direction is outlined.

摘要

协同作战任务分配技术是近年来军事领域的研究热点之一, 以往的研究一般将任务分配划分为预分配和动态分配2个阶段并独立进行研究, 但是这种做法忽略了2个阶段之间的内在联系。针对这一问题, 以多目标优化下的任务预分配和单目标优化下的任务动态分配为切入点, 提出一种多/单目标优化转换思想。在动态任务分配阶段, 通过决策者在预分配阶段的选择获取其主观偏好, 基于获取的主观偏好将多目标优化转化为单目标优化后, 使用合同网协议完成单目标任务重分配。仿真结果证明了所提出的多/单目标优化转换思想的正确性及其在动态任务分配问题中的适用性。