Research on Task Allocation of Multi-constraint Unmanned System Swarm Based on Mixed Integer Linear Programming

Unmanned systems swarm task allocation is one of the key issues of unmanned systems collaborative control. Aiming at the multiple objectives and multiple constraints task allocation issue of unmanned systems swarm, under the multi-constrained conditions of comprehensively considering the benefits of unmanned systems swarm against multiple targets, weapon costs, disabling costs, time costs and energy costs, taking the largest net income, the smallest number of unmanned systems dispatched, and the least number of weapons carried by unmanned systems as the optimization goals respectively, the mathematical models of multi-constrained task allocation based on mixed integer linear programming is established. The Cplex solver is used to solve the specific examples. And the calculation results are analyzed. The results show that the task allocation model based on “platform-weapon-target” can effectively solve the assignment issue of multi-constraint unmanned system swarm.