Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...
TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on ...
A new hybrid Pareto-safe distributional reinforcement learning scheduler balances latency, energy, SLA, and load balance in ...
A Skoltech-developed approach combines machine learning, explainable AI, and multi-objective optimization to improve drilling efficiency Assistant Professor Shadfar Davoodi at the Skoltech AI Center ...
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