The hybrid BOCS-GP method with adaptive LCB selection finds better objective values than random-point addition in QUBO and HUBO by selecting points that promote search progress within Hamming-distance neighborhoods.
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Improving search efficiency via adaptive acquisition function selection in discrete black-box optimization
The hybrid BOCS-GP method with adaptive LCB selection finds better objective values than random-point addition in QUBO and HUBO by selecting points that promote search progress within Hamming-distance neighborhoods.