Abstract
To solve the combat task assignment of reconnaissance unmanned aerial vehicle (RUAV)/unmanned combat aerial vehicle(UCAV), this paper proposed an efficient task assignment method that takes into account the expected destruction probability of target. This method improves the utility function and constraint of the model that based on the goal of destroying the total sum of the target value. The adjustment factor is added to the model to achieve a balanced distribution of RUAVs/UCAVs resources; the expected destruction probability of target is introduced as a constraint to prevent the excessive distribution of RUAVs/UCAVs resources. Subsequently, a greedy algorithm based on maximizing marginal-return is designed to solve the proposed model. The simulation results show that the improved algorithm not only meets the combat effectiveness but also improves the economic performance on the basis of real-time task allocation.
Highlights
To solve the combat task assignment of reconnaissance unmanned aerial vehicle ( RUAV) / unmanned combat aerial vehicle( UCAV), this paper proposed an efficient task assignment method that takes into account the expected destruction probability of target
The adjustment factor is added to the model to a⁃ chieve a balanced distribution of RUAVs / UCAVs resources; the expected destruction probability of target is intro⁃ duced as a constraint to prevent the excessive distribution of RUAVs / UCAVs resources
A greedy al⁃ gorithm based on maximizing marginal⁃return is designed to solve the proposed model
Summary
将第 i 个 RUAV 和第 j 个 UCAV 分配给目标 k;Pd(k) 为第 k 个目标期望摧毁概率;remove(a(∗,∗,k)) 式中: Pmis( k) 表示目标 k 未被其已分配 RUAVs 成 R2( k^ ) ← R1( k^ ) ,update Pmis( k^ ) ,Qmis( k^ ) , α( k^ ) ,NUs(^i) ,NUw(^j ) ; y^i^k ← 1,z^j^k ← 1;Delete a(^i,^j ,k^ ) ; End while
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