Hybridized trajectory generation and many-objectives optimization for multi-agent quadrotor UAVs
This research generates a large collection of optimized trajectories for multi-agent quadrotors. The hybridized algorithm extracts trajectories with various trade-off for all agents without discrimination. This allows the resources of all agents to contribute towards the completion of a task. Tw...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2018
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| Online Access: | https://eprints.nottingham.ac.uk/48060/ |