Research on route planning of cruise missile based on improved particle swarm optimization algorithm
Xiaoxiao Ma, Tao Li
Abstract
Xiaoxiao Ma, Tao Li
Abstract
For the route planning problem of cruise missile, a method based on PSO is proposed and simulated. The route cost model is established which in-tegrates the terrain cost, the threating cost and the stratagem obviation cost. With the model, digital maps and battlefield information can be transformed to the grid space for route planning. For the premature defect in the standard PSO algorithm, a method based on similarity variation is proposed for route planning. Simulation results show that the searching effect of the improved algorithm is better than which of the standard algorithm in route planning, the improved algorithm can get better route.
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For the route planning problem of cruise missile, a method based on PSO is proposed and simulated. The route cost model is established which in-tegrates the terrain cost, the threating cost and the stratagem obviation cost. With the model, digital maps and battlefield information can be transformed to the grid space for route planning. For the premature defect in the standard PSO algorithm, a method based on similarity variation is proposed for route planning. Simulation results show that the searching effect of the improved algorithm is better than which of the standard algorithm in route planning, the improved algorithm can get better route.
Key concepts: Cruise missile, Particle swarm optimization, Cruise, Computer science, Swarm behaviour, Algorithm, Missile, Mathematical optimization