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Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning
Despite automation in mesh generation using either an empirical approach or an optimization algorithm, repeated tuning of meshing parameters is still required for a new geometry.
Multi-condition multi-objective optimization using deep reinforcement learning
A multi-condition multi-objective optimization method that can find Pareto front over a defined condition space is developed for the first time using deep reinforcement learning.
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