Machine Learning and Evolutionary Techniques in Interplanetary Trajectory Design

Author:

Izzo Dario,Sprague Christopher Iliffe,Tailor Dharmesh Vijay

Publisher

Springer International Publishing

Reference55 articles.

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2. Ampatzis, C., Izzo, D.: Machine learning techniques for approximation of objective functions in trajectory optimisation. In: Proceedings of the IJCAI-09 Workshop on Artificial Intelligence in Space, pp. 1–6 (2009)

3. Biesbroek, R.G., Ancarola, B.P.: Optimization of launcher performance and interplanetary trajectories for pre-assessment studies. In: IAF Abstracts, 34th COSPAR Scientific Assembly (2002)

4. Cassioli, A., Di Lorenzo, D., Locatelli, M., Schoen, F., Sciandrone, M.: Machine learning for global optimization. Comput. Optim. Appl. 51(1), 279–303 (2012)

5. Ceriotti, M., Vasile, M.: MGA trajectory planning with an ACO-inspired algorithm. Acta Astronaut. 67(9), 1202–1217 (2010)

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