A LEARNING APPROACH TO SAMPLING OPTIMIZATION APPLIED TO A GLOBAL TRAJECTORY OPTIMIZATION PROBLEM
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A method of optimization based on rejection sampling (called the Learning Approach to Sampling Optimization) is presented for solving a global trajectory optimization problem. The given trajectory optimization problem was posed by ESA/ACT and has known solutions. The Learning Approach algorithm will be applied to the problem and the results are compared with the published solutions.
author list (cited authors)
Henderson, T. A., & Mortari, D.