Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence (ICUSAI)(2019)

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摘要
Aiming at the typical problem of unmanned underwater vehicle (UAV) path planning, this paper proposes a fuzzy optimization algorithm based on adaptive fireworks. Firstly, the track performance index with a multi-objective fuzzy optimization strategy based on energy consumption and buoy threat was established. Then, the adaptive fireworks search algorithm was used for track planning. Finally, three groups of simulation and comparison experiments with different levels of complex environment were carried out. The results showed that the fuzzy optimization algorithm based on adaptive fireworks can effectively solve the multi-objective fuzzy optimization problem. The method proposed in this paper provided a useful reference for unmanned underwater vehicle path planning.
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关键词
Adaptive fireworks algorithm,Unmanned underwater vehicle,Fuzzy optimization,Path planning
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