Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank

In practical multi-criterion decision-making, it is cumbersome if a decision maker (DM) is asked to choose among a set of trade-off alternatives covering the whole Pareto-optimal front. This is a paradox in conventional evolutionary multi-objective optimization (EMO) that always aim to achieve a wel...

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Hauptverfasser:	Li, Ke, Lai, Guiyu, Yao, Xin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext bestellen
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