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- W1566457085 abstract "Real world objective functions often produce two types of uncertain output: noise and imprecision. While there is a distinct difference between both types, most optimization algorithms treat them the same. This paper introduces an alternative way to handle imprecise, interval-valued objective functions, namely imprecision-propagating MOEAs. Hypervolume metrics and imprecision measures are extended to imprecise Pareto sets. The performance of the new approach is experimentally compared to a standard distribution-assuming MOEA." @default.
- W1566457085 created "2016-06-24" @default.
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- W1566457085 date "2005-12-13" @default.
- W1566457085 modified "2023-10-16" @default.
- W1566457085 title "An Optimization Algorithm for Imprecise Multi-Objective Problem Functions" @default.
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- W1566457085 doi "https://doi.org/10.1109/cec.2005.1554719" @default.
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