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Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement

By Ahmed Attia
We present a fully probabilistic approach for solving binary optimization problems with black-box objective functions and with budget constraints. In the probabilistic approach, the optimization variable is viewed as a random variable and is associated with a parametric probability distribution. The original optimization problem is replaced with an optimization over... Show more
June 9, 2024
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Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement
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