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Path planning for small unmanned air vehicles (UAVs) becomes a difficult problem when accounting for wind. Wind can affect the path quality in a nonlinear manner requiring extended segment lengths for accurate following. A method is presented to find near-optimal paths through stochastic optimization based on a training set. In general the method applies to quickly find a near-optimal solution of...
This paper discusses the application of a multi-layer perceptron network to estimate direction of arrival (DOA) using ant colony optimization (ACO) for training. ACO simulates the foraging behavior of ant colonies which manage to find the shortest path from nest to feeding source. This technique was originally developed for discrete optimization problems, but recent research efforts has led to some...
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