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.