An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned Aerial Vehicles with Obstacle Avoidance
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- An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned Aerial Vehicles with Obstacle Avoidance
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Association for Computing Machinery
New York, NY, United States
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- Research-article
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- Refereed limited
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- Hunan Provincial Natural Science Foundation of China
- Science and Technology Development Project of Chenzhou
- Scientific Research Fund of Hunan Provincial Education Department
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