Trajectory Optimization with Constraints Using Neural Networks and Genetic Algorithms
Improving the flight trajectory in climb phases, such as in the continuous climb operation, has the potential to reduce fuel consumption. In this paper, we propose an approach that combines a neural network and genetic algorithms to determine the fuel-optimal vertical climb profile under a given fli...
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| Main Authors: | Haruto Taguchi, Eri Itoh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/12/7/583 |
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