1. Addis, B., Cassioli, A., Locatelli, M., Schoen, F.: A global optimization method for the design of space trajectories. COAP, published on line (2009). doi: 10.1007/s10589-009-9261-6
2. Addis, B., Locatelli, M., Schoen, F.: Local optima smoothing for global optimization. Optim. Methods Softw. 20(45), 417–437 (2005)
3. 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)
4. Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2(2), 121–167 (1998)
5. Byrd, R.H., Nocedal, J., Lu, P., Zhu, C.: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization. Tech. Rep., Northwestern University, Department of Electrical Engineering and Computer Science (1995)