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It's an important tactical operation for single aerial vehicle to attack multiple targets in one flight, and its flight route has great impact on the attacking effect and its own safety. To optimize this flight route, a new hybrid algorithm was presented for the aerial vehicle, that is : firstly, use the Dynamic Programming(DP) to search routes in order to reduce the searching times and improve the...
In this article we present an application of the multiobjective ant colony system (MACS) algorithm to the uninhabited aerial vehicles (UAVs) route planning problem based on Voronoi diagram. First, we construct the objective functions: minimize the route length and danger exposure. Then the MACS algorithm concept is introduced and modified to accommodate the route planning situation. The computational...
Most path planning algorithms existed have disadvantages in space representation, constraints handling or computation efficiency. Combining particle swarm optimization with path planning problem for unmanned aerial vehicles (UAVs), a new path planner for aerial vehicles based on modified PSO algorithm is presented. Path planning problem is modeled as a 5-element array. Incorporating constraints into...
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