Route Planning Algorithm of Region Important Target Search Based on PSO
Shujuan Tang, Ke Zhao, Li De-Fang, Nan Wang · 2018
Regional Important target search problem is the typical combat mission of air combat field. To solve the problem of multi-aircraft collaborative path planning, the search probability graph is defined to encourage direct flight and reduce fuel consumption. Aims at saving time, encourage straight flight and reduce fuel consumption to set up the model of the path planning problem of the single-aircraft and multi-aircraft for the predetermined regional search. Based on the particle swarm algorithm, the problem is solved by the mutation operator of genetic algorithm, which obtained more authoritative optimal path in a larger space. Simulation results shown that the algorithm is feasible and effective.