Research of UAV Swarms Material Distribution Routing Optimization
This paper focuses on the needs of"precise,smart and dexterous support"in the future battlefield,aims at improv-ing the effectiveness of material support"in the last mile of battlefield",and takes into consideration the special area of the battle-field and supporting environment,the simulated annealing algorithm and K-Means clustering selection algorithm are introduced on the basis of artificial bee colony algorithm,an improved artificial bee colony algorithm is proposed for UAV swarms material distribu-tion routing optimization.Experimental results show that the proposed algorithm improves the defects of artificial bee colony algo-rithm effectively,the optimization accuracy and effectiveness have been significantly improved,which provides certain deci-sion-making reference for material distribution support in the future intelligent war.
UAV swarmsartificial bee colony algorithmrouting optimizationmaterial distribution
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