OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without ...
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Google’s TurboQuant could cut LLM memory use sixfold, signaling a shift from brute-force scaling to efficiency and broader AI ...
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have demonstrated strong performance in solving low- and medium-dimensional expensive multi-objective optimization problems (EMOPs).
Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...
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