most citedSMGO-: Balancing Caution and Reward in Global Optimization with Black-Box Constraints

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math.OC2022★ 1 cited

SMGO-: Balancing Caution and Reward in Global Optimization with Black-Box Constraints

Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano

In numerous applications across all science and engineering areas, there are optimization problems where both the objective function and the constraints have no closed-form express…