Avoiding Redundant Restarts in Multimodal Global Optimization to Improve Sample Efficiency

Redundant restarts in multimodal global optimization can waste significant function evaluation budget by revisiting the same basins of attraction. An approach to identify and avoid such redundant restarts can improve the sample efficiency of global optimization algorithms.