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Stochastic optimization

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Stochastic optimization

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Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing - Part I: Methodology demonstration

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

Smart charging of electric vehicles under uncertainty

Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Logical Team Q-learning: An approach towards factored policies in cooperative MARL

Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation