Research on Cooperative Task Allocation for Multiple UCAVs Based on Modified Co-evolutionary Genetic Algorithm

Uninhabited combat aerial vehicles (UCAVs) task allocation problem is one of the most important issues in UCAV research. This paper refers to an extension of the mixed-integer linear programming (MILP) task allocation model. Through analyzing the model characteristics, and combining with the advantages and disadvantages of co-evolutionary genetic algorithm, this paper modifies the mechanism of search space and evolution among populations in co-evolutionary genetic algorithm (MCOGA) to improve the convergence and diversity of algorithm. At last, the feasibility and effectiveness of the modified algorithm in solving the problem of multiple UCAVs task allocation is verified by simulation.