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Multi-criteria optimization is concerned with the optimization of a vector of objectives, which can be the subject of a number of constraints or bounds. The goal of multi-objective optimization is usually to find or to approximate the set of Pareto-optimal solutions. A solution is Pareto-optimal if it cannot be improved in one objective without getting worse in another one.
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(2017). Multi-objective Optimization. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_570
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_570
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