Screening and Sufficiency in Multiobjective Decision Problems with Large Alternative Sets
Michael D. Cote
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Screening and Sufficiency in Multiobjective Decision Problems with Large Alternative Sets

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Portfolio selection problems with combinatorially-large alternative sets can be impossible to evaluate precisely on a reasonable timescale. When portfolios require complex modeling for performance assessment, prohibitive computational processing times can result. Eliminating a small number of alternatives through an intelligent screening process can greatly reduce the number of alternative combinations, thereby decreasing a problem's evaluation time and cost. A methodology was developed for the class of hierarchical portfolio selection problems in which multiple objectives are all judged on th...