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ETH Zürich - D-ITET - TIK - SOP - PISA - Selectors - Sibea
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SIBEA - Simple Indicator Based Evolutionary Algorithm

SIBEA is an multiobjective evolutionary algorithm that calculates fitness values based on the hypervolume contribution. Thereby, no particular diversity preservation techniques such as fitness sharing, clustering, etc. is necessary. For biobjective problems, SIBEA uses dynamic programming in the environmental selection step to obtain the obtimal subset. For higher dimensions, a greedy approach is used instead.

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