Research on Path Planning for Flight Vehicles based on Improved ACO
An improved ACO is proposed for two-dimensional path planning of flight vehicles to solve the problems such as slow convergence speed,easy to fall in stagnation and zigzag path with large angles in basic ACO.First,the improved algorithm optimizes extend method to accelerate convergence.Then,a new pheromone strategy is put forward to increase the utilization of pheromone information while preventing ant from falling into stagnation.At last,local optimization method is introduced to reduce the twists and turns in the searched path.According to the simulation results,the improved ACO has superiority in convergence,iteration number and quality of path.The result proves that the improved algorithm can increase the rate of convergence and path quality compared with basic ACO.
path planningimproved ACOlocal optimizationquality of pathrate of convergence
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