Abstract: Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs). To address this, we propose a novel ...
Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...
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