Fuzzy preferences in multi-objective optimization (MOO)
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United States of America Patent
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Jun 3, 2008
Grant Date -
Aug 11, 2005
app pub date -
Dec 10, 2002
filing date -
Jan 17, 2002
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Expired
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Abstract
A method to obtain the Pareto solutions that are specified by human preferences is suggested. The main idea is to convert the fuzzy preferences into interval-based weights. With the help of the dynamically-weighted aggregation method, it is shown to be successful to find the preferred solutions on two test functions with a convex Pareto front. Compared to the method described in 'Use of Preferences for GA-based Multi-Objective Optimization' (Proceedings of 1999 Genetic and Evolutionary Computation Conference, pp. 1504-1510, 1999) by Cvetkovic et al., the method according to the invention is able to find a number of solutions instead of only one, given a set of fuzzy preferences over different objectives. This is consistent with the motivation of fuzzy logic.
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