Velocity Decision-making and Task Allocation of UAV Swarm Based on Multi-objective Optimization
Addressing the issue of how to allocate the strike targets in UAV swarm operations,the CMTAP(Cooperative Multiple Task Allocation Problem)has been enhanced with two dimensions of objec-tives:time window fitness and fuel consumption.This extension expands the problem-solving dimension of CMTAP from allocating task sequences to solving the corresponding velocities and departure times for each UAV.To tackle this problem,the CMTAP-MO-GA algorithm is proposed.A chromosome mutation mechanism that breaks down task sequences and a chiasmatypy mechanism that repairs deficiencies are utilized.This algorithm can solve the pareto frontier of the problem on a two-dimensional objective func-tion,the corresponding allocation results and the execution policy of every solution on the frontier.
CMTAPmulti-objective optimizationswarm of UAVsgenetic algorithmvelocity decision-making
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