A multi/single-objective transform-based approach for combat task re-assignment
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 assign-ment.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 trans-form 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 demon-strated and a potential future research direction is outlined.
multi-objective optimizationsingle-objective optimizationtask re-assignmentmulti-objective particle swarm optimizationcontract net protocol
万方数据
维普
