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Although unmanned aerial vehicle (UAV) shows great advantages and some new potential applications in recent years as an effective tool for investigation, fighting and defense, yet, how to give full play to its role still remains the focus of attention. To improve the fighting efficiency of UAV and expand the range of its applications, the obstacle avoidance problem of UAV during autonomous cruise...
This paper proposes a multi-point local search algorithm for solving continuous dynamic optimization problems. The proposed algorithm first identifies some good points which are far away from each other via a species technique. Then these points serve as the starting points for a local searcher. When the environment changes, best solutions found by each starting point in the previous environment are...
A back propagation algorithm is a supervised learning algorithm applied to train a neural network off line. This paper introduces a modified learning algorithm. The training algorithm, which is composed of a temporal difference (TD) method and a dynamic BP algorithm (DBP), can train an Elman network online. A gradient descent momentum and adaptive learning rate algorithm is applied to the TD-DBP algorithm...
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