Far-from-equilibrium dynamics controls a broad range of processes in nature and technology, from celestial events to atoms.
Abstract: Optimization algorithms (OAs) frequently address complex industrial automation and system scheduling design problems. However, when handling high-dimensional complex problems, these ...
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 ...
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