A reduced-order modeling approach paired with continuation methods enables efficient Pareto set computation for multiobjective optimal control of elliptic PDEs with arbitrary numbers of objectives.
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ROM-based multiobjective optimization of elliptic PDEs via numerical continuation
A reduced-order modeling approach paired with continuation methods enables efficient Pareto set computation for multiobjective optimal control of elliptic PDEs with arbitrary numbers of objectives.