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- W1570238934 abstract "Many practical (bio)chemical engineering problems involve the determination of optimal trajectories given multiple and conflicting objectives. These conflicting objectives typically give rise to a set of Pareto optimal solutions. To enhance real-time decision making efficient approaches are required for determining the Pareto set in a fast and accurate way. Hereto, the current paper integrates efficient multiple objective scalarisation strategies (e.g., Normal Boundary Intersection and Normalised Normal Constraint) with fast deterministic simultaneous approaches for dynamic optimisation (e.g., Multiple Shooting and Collocation). All techniques have been implemented as an add-on to the freely available automatic control and dynamic optimisation toolkit ACADO (www.acadotoolkit.org). ACADO Multi-Objective's features are discussed and its use is illustrated on different (bio)chemical examples." @default.
- W1570238934 created "2016-06-24" @default.
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- W1570238934 date "2010-01-01" @default.
- W1570238934 modified "2023-09-23" @default.
- W1570238934 title "A toolkit for efficiently generating Pareto sets in (bio)chemical multi-objective optimal control problems" @default.
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- W1570238934 doi "https://doi.org/10.1016/s1570-7946(10)28081-1" @default.
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